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10 results for “National identity”
National Open Access Monitor Survey: Organisational Identity: Responses Dataset
<p>This dataset contains the response data from the 'National Open Access Monitor Survey: Organisational Identity which was carried out between 9th October and 9th November 2023 under the National Open Access Monitor Project: <a href="https://zenodo.org/doi/10.5281/zenodo.8420404">https://zenodo.org/doi/10.5281/zenodo.8420404</a></p><p><strong>This survey was run to:</strong></p><ul><li>compile a complete list of Irish research performing organisations (RPO) and research funding organisations (RFO) to be represented by the National Open Access Monitor.</li><li>ensure each organisation/entity is categorised correctly as an RPO or an RFO (or both), as applicable.</li><li>identify if an organisation/entity is publicly funded.</li><li>identify formally affiliated organisations/entities where <strong>all </strong>research outputs of one organisation/entity should also be included in the research outputs of another organisation/entity.</li><li>capture the persistent identifiers for RPOs, RFOs and publishers, to enable identification of relevant research outputs for the National Open Access Monitor.</li></ul><p><strong>To note: </strong></p><ul><li>Respondents' email addresses have been redacted.</li><li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor A, Research Funding Organisation A, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a>.</li><li>Respondents were notified of the limits of pseudonymisation for this survey. Due to the nature and purpose of this survey on Organisational Identity, the identity of the organisation/entity could not be pseudonymised. Participants were advised only to participate if they were happy to do so under these conditions.</li><li>Survey responses were deleted by request of certain respondents. These responses are not included in these files.</li><li>Survey respondents were enabled to update their submissions. These changes are captured in the <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.</i></li></ul><p><strong>There are four files within in this dataset:</strong></p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.README - </i>this PDF details the changes made to the raw data, as specified in the bullet points above and a description of the files within the dataset.</p><p>- <i>Results.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.101123</i> - this is the original raw data, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised and redacted.</p><p>- <i>NationalOpenAccessMonitorSurvey.OrganisationalIdentity.MasterChangeFile.101123 </i>- this is a change file, in csv format, which documents the changes which participants requested to be made to their submissions after they were received.</p><p>- R<i>esults.NationalOpenAccessMonitorSurvey.OrganisationalIdentity.Pseudonymised.Updated.101123 - </i>this is the original raw data, pseudonymised and redacted, with the requested changes implemented.</p><p><strong>Notes for data use:</strong></p><ul><li>The "affiliated organisations/entities" section of the survey was insufficiently described in the survey text. One-to-one follow-up and support was provided to clarify to respondents that questions 12 and 13 of the survey intended to identify where <strong>all </strong>research outputs of one organisation/entity should appear on that organisation's/entities' own RPO or RFO dashboard within the National Open Access Monitor, and <strong>also </strong>on the dashboard of another organisation/entity. </li><li>Survey respondents were notified in the introduction section to the "affiliated organisations/entities" section that "<strong>only where all entities agree there is a formal relationship in place</strong> that should be reflected in the Monitor will the link be implemented". Therefore, for the National Open Access Monitor project, only where both parties have asserted that <strong>all </strong>research outputs of one organisation/entity should also appear on the dashboard of another organisation/entity, will it be considered validated and implemented. </li><li>The geographic scope of the National Open Access Monitor Project is the Republic of Ireland. Where respondent's RPO or RFO organisations/entities are based outside the Republic of Ireland, or where respondents stated affiliations with overseas organisations/entities, they will not be actioned or implemented. To note: the survey invited responses from international <i>publishers</i> to enable filtering functionality by publisher within the National Open Access Monitor, these responses are <i>not </i>out of scope. </li></ul><p>-----------------------</p><p>The context for the survey is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a>, the National Open Access Monitor Advisory Group Meeting Minutes, 18th September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8405472">https://zenodo.org/doi/10.5281/zenodo.8405472</a> and the Developing the National Open Access Monitor, Ireland: Stakeholder Webinar, 22nd September 2023: <a href="https://zenodo.org/doi/10.5281/zenodo.8370578">https://zenodo.org/doi/10.5281/zenodo.8370578.</a></p><p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland's National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/ </a><a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
Spatial partial identity model for spatial capture-recapture analysis of large carnivores in Kasungu National Park, Malawi
<p>Overview:</p> <p>Decline in global carnivore populations has led to increased demand for assessment of carnivore densities in understudied habitats. Spatial capture-recapture is used increasingly to estimate species densities, where individuals are often identified from their unique pelage patterns. However, uncertainty in bilateral individual identification can lead to the omission of capture data and reduce the precision of results. The recent development of the two-flank spatial partial identity model (SPIM), offers a cost-effective approach which can reduce uncertainty in individual identity assignment and provide robust density estimates. We conducted camera trap surveys annually between 2016 and 2018 in Kasungu National Park, Malawi, a primary miombo woodland and a habitat lacking baseline data on carnivore densities. We used SPIM to estimate density for leopard (<em>Panthera pardus</em>) and spotted hyaena (<em>Crocuta crocuta</em>), and report on the status of other large carnivores.</p> <p>Usage notes:</p> <p>These data are to estimate density for leopard and spotted hyaena in KNP, Malawi. They are provided as an example for using the spatial partial identity model for spatial capture-recapture analysis in populations where individuals are partially identified.</p> <p>Methods:</p> <p>Individual leopards and spotted hyaena were identified from photographs using their unique pelage patterns (Henschel & Ray, 2003). A database was maintained of identified individuals, with partial (single flank) or complete (two flank) identities, to build capture histories for SCR analysis. We identified individuals from left flank captures for both species, due to higher numbers of identified left flank individuals recorded during preliminary surveys. Complete identities were added where flanks were certain to come from the same individual (from baited stations outside of survey time, live captures, dual camera trap stations and multiple passes of a single camera trap). Leopards were sexed by visual determination of external genitalia, presence of the dewlap, frontal bossing and overall body size (Henschel & Ray, 2003; Devens <em>et al</em>. 2018). Sexing was not possible for spotted hyaena due to difficulties in determining sex from external genitalia and body size. Capture histories were developed for spatial captures and trap effort, with each day (24 hours) treated as a separate sampling occasion (Goldberg <em>et al</em>. 2015). Trap effort was measured through a binary matrix of active-inactive days, to improve estimates of detection probability, and included the spatial location of each camera location.</p> <p>Density was modelled using the package <em>SPIM </em>(Augustine, 2018) in R v.3.5.2<em> </em>(R Development Core Team, 2018) to resolve the complete identity of individuals from single-flank samples probabilistically (see Augustine <em>et al</em>. 2018 for complete description of spatial partial identity model), and a Bernoulli observation model fitted, whereby an individual may be captured in each trap only once during each sampling occasion (Royle <em>et al</em>. 2013; Augustine <em>et al</em>. 2018). For Markov Chain Monte Carlo simulations, a single chain of 50,000 iterations per single session analysis was undertaken, with a burn-in of 500 iterations and data augmentation of 100-130 individuals for leopard and 125-250 for spotted hyaena. Analysis was conducted with an increasing buffer width from 10,000 to 25,000 metres (leopard) and 10,000 to 40,000 metres (spotted hyaena), using 5,000 metre increments, until density estimates stabilised (Chase-Grey <em>et al</em>. 2013; Devens <em>et al</em>. 2018).</p>
FIG. 4 in On type material and the identity of several Iulus species described by Paul Gervais, in the collection of the Muséum national d'Histoire naturelle in Paris (Diplopoda, Spirostreptida, Spirobolida)
FIG. 4. — Neocricus striolatus (Gervais, 1847), holotype; A, gonopods (front view); B, anterior gonopods (caudal view); C, D, left posterior gonopod (lateral and mesal, respectively). Scale bar: 2.0 mm.
FIG. 3 in On type material and the identity of several Iulus species described by Paul Gervais, in the collection of the Muséum national d'Histoire naturelle in Paris (Diplopoda, Spirostreptida, Spirobolida)
FIG. 3. — Amastigogonus verreauxii (Gervais, 1847), holotype; A, anterior body end (lateral view); B, midbody segment (lateral view); C, telson (lateral view); D, leg-pair 1 and gnathochilarium (caudal view); E, gonopods (caudal view); F, G, anterior gonopod (front and lateral views, respectively); H, left posterior gonopod (caudal view). Scale bars: A-D, 1.0 mm; E-H, 0.5 mm.
FIG. 2 in On type material and the identity of several Iulus species described by Paul Gervais, in the collection of the Muséum national d'Histoire naturelle in Paris (Diplopoda, Spirostreptida, Spirobolida)
FIG. 2. — Gymnostreptus trimarginatus (Gervais, 1847), lectotype; A, anterior body end (lateral view); B, midbody segment (lateral view); C, telson (lateral view). Scale bar: 2.0 mm.
FIG. 1 in On type material and the identity of several Iulus species described by Paul Gervais, in the collection of the Muséum national d'Histoire naturelle in Paris (Diplopoda, Spirostreptida, Spirobolida)
FIG. 1. — Gymnostreptus sublaevis (Gervais, 1847), lectotype (A, C-H) and female paralectotype (B); A, collum (lateral view); B, telson (lateral view); C, gena (lateral view); D, leg 1 (front view); E-G, gonopods (front, lateral, and caudal views, respectively, with lateral folds of paracoxites broken off); H, tip of solenomerite (drawn not to scale). Scale bars: A-G, 2.0 mm; H, 1.0 mm.
Developing National Identity Scale: As Indonesian Case
<p><strong><em>Background: </em></strong></p> <p><em>National identity is an important concept to be developed, so it is necessary to have a measurement instrument with evidence of validity and reliability. Thus, the accuracy of the information obtained through the measurement of this instrument will be guaranteed.</em></p> <p> </p> <p><strong><em>Objective:</em></strong></p> <p><em>This article aims to test the psychometric properties of the national identity scale to fulfil the standardization of good measurement.</em></p> <p> </p> <p><strong><em>Method:</em></strong></p> <p><em>In this study, three analytical approaches were used: content validity involving eight subject matter experts (SME), confirmatory factor analysis (CFA), and reliability analysis. For the reliability and CFA approach, 300 students were used as samples taken through the convenience sampling technique.</em></p> <p> </p> <p><strong><em>Result:</em></strong></p> <p><em>The analysis results show that out of the 20 items compiled in the content validity analysis, one item is inadequate because it has a below standard score on Aiken's coefficient of validity. This one item was revised again to be included in the tryout and data collection for the following analysis stage. The results of the CFA analysis show that the model and data are fit, and there are two inadequate items. At the same time, the contribution of the three factors on the national identity scale is significant. In the third analysis, it was found that adequate coefficient reliability affected the low standard error measurement (SEM).</em></p> <p> </p> <p><strong><em>Conclusion:</em></strong></p> <p><em>Based on the analysis results, it can be concluded that the Indonesian national identity scale has fulfilled good psychometric properties. It can be proven from evidence validity based on content, confirmatory factor analysis (CFA), and reliability analysis.</em></p>
Promoting Indonesian Batik as a Symbol of National Identity: A Bibliometric Approach
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The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com in Suidae
The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com
Echoes from the past: Influence of collective memory and historical victimhood on ethnic and national identities
<p>Collective memories which is a group’s shared representations of its past and which has the potentiality of shaping identity was examined in the context of a highly pluralistic society in the study. The research was conducted among 650 purposively selected participants from the three major ethnic groups in Nigeria through an online survey. The study seeks to know if pleasant collective memories will positively influence ethnic (subgroup) identification and national (superordinate) identification, and if on the other hand, unpleasant collective memories will be positively associated with ethnic identification but negatively associated with national identification. The study also seeks to know if victim beliefs will influence engagement in collective actions against authorities for justice. Respondents were measured on collective memories, victim beliefs, ethnic and national identifications scales. Findings of the study through a Latent Class Analysis (LCA) and Path Model Analysis indicate that pleasant collective memories positively influenced ethnic identification and national identification b = .56, SE = .15, p < .001, b = .67, SE = .14, p < .004, respectively. Also, result indicates that unpleasant collective memories has a significant positive influence on ethnic identification, but a significant negative influence on national identity. (b= 0.239, -0.058), respectively. Furtherance to this, Victim belief was found to be a predictor of collective action. (b = 0.251, p-value = 0.009 95% CI [0.12, 0.90], although, pleasant collective memories reduce the likelihood of collective action, (b = -0.716, p-value = 0.000). The study discusses how these dynamics influence ethnic group’s relations with other ethnic groups and the government of a pluralistic society.</p>
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