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52 results for “fiction”
Figure 7 in The dark side of birds: melanism-facts and fiction
Figure 7. Melanistic Water Rail Rallus aquaticus (NHMUK 1939.12.9.3699, Ireland, 13 November 1902), with increased eumelanin, resulting in almost solid black plumage (Harry Taylor, © Natural History Museum, London) Figure 8A. Melanistic Common Snipe Gallinago gallinago (NHMUK 1939.12.9.3643, Ireland), the same form as was previously described as Sabine's Snipe Scolopax sabinii Vigors, 1825; (B) Melanistic Common Quail Coturnix coturnix (NHMUK 1996.41.442, England, 1895), the same form as was previously described as Verreaux's Quail Synoicus lodoisiae Verreaux & des Murs, 1862 (Harry Taylor, © Natural History Museum, London)
Figure 27 in The dark side of birds: melanism-facts and fiction
Figure 27. Depiction in Schaaning (1921) of another form of melanism in Black Grouse Lyrurus tetrix that changes the pattern and markings, resulting in a paler appearance than normal (Hein van Grouw, © Natural History Museum, London)
Figure 2 in The dark side of birds: melanism-facts and fiction
Figure 2. Feral Pigeons Columba livia: (A) wild phenotype, Leiden, the Netherlands, 19 August 2007; the grey wing-coverts and black wingbars are the result of different distribution of the same quantity of black melanin granules (Hein van Grouw); (B) T-pattern chequer, Leiden, the Netherlands, 19 August 2007; as a result of a dominant mutation of the pattern gene, the pigmentation over almost the entire wings is distributed as usually found only in the black wingbars, resulting in a blackish appearance, but the rump, tail and underparts are unaffected (Hein van Grouw); (C) Black, Leiden, the Netherlands, 19 August 2007; due to a dominant mutation known as 'spread', all pigment granules are equally spread, resulting in black plumage throughout (Hein van Grouw); (D) Recessive red, Pismo, California, USA; due to a recessive mutation of the extension gene that inactivates MC1R, phaeomelanin alone is produced (Robert Shriner)
Figure 26 in The dark side of birds: melanism-facts and fiction
Figure 26. Another form of melanism in Black Grouse Lyrurus tetrix specimens at Zoological Research Museum Alexander Koenig, Bonn, which alters the pattern and markings, resulting in a paler appearance than normal; compare female with right-hand bird in Fig. 24. (Hein van Grouw)
TABLE 1 in The dark side of birds: melanism-facts and fiction
<p>TABLE 1 Some examples of melanistic individuals named as new species.</p><table><tbody><tr><th><b>‘New’ species</b></th><th><b>Actual species</b></th></tr></tbody><tbody><tr><th>Mountain Partridge, <i>Perdix montana</i> Brisson, 1760</th><td>Grey Partridge <i>Perdix perdix</i> (Linnaeus, 1758)</td></tr><tr><th>Sabine’s Snipe <i>Scolopax sabinii</i> Vigors, 1825</th><td>Common Snipe <i>Gallinago gallinago</i> (Linnaeus, 1758)</td></tr><tr><th><i>Dicaeum aterrimum</i> Lesson, 1830</th><td>Bananaquit <i>Coereba flaveola</i> (Linnaeus, 1758)</td></tr><tr><th><i>Pyrocephalus obscurus</i> Gould, 1839</th><td>Vermilion Flycatcher <i>Pyrocephalus rubinus</i> (Boddaert, 1783)</td></tr><tr><th>Chestnut-coloured Partridge <i>Ortyx castaneus</i> Gould, 1842</th><td>Northern Bobwhite <i>Colinus virginianus</i> (Linnaeus, 1758)</td></tr><tr><th>Black Fantail <i>Rhipidura melanura</i> G. R. Gray, 1843</th><td>New Zealand Fantail <i>Rhipidura fuliginosa</i> (Sparrman, 1787)</td></tr><tr><th>Black Woodhen <i>Gallirallus fuscus</i> Du Bus, 1847</th><td>Weka <i>Gallirallus australis</i> (Sparrman, 1786)</td></tr><tr><th>English Rock Dove <i>Columba affinis</i> Blyth, 1847</th><td>Rock Dove <i>Columba livia</i> J. F. Gmelin, 1789</td></tr><tr><th>Rufous-bellied Coucal <i>Centropus epomidis</i> Bonaparte, 1850</th><td>Senegal Coucal <i>Centropus senegalensis</i> (Linnaeus, 1766)</td></tr><tr><th>Black-shouldered Peafowl <i>Pavo nigripennis</i> P. L. Sclater, 1860</th><td>Indian Peafowl <i>Pavo cristatus</i> Linnaeus, 1758</td></tr><tr><th><i>Perdix atro-rufa</i> Soland, 1861</th><td>Red-legged Partridge <i>Alectoris rufa</i> (Linnaeus 1758)</td></tr><tr><th>Verreaux’s Quail <i>Synoicus lodoisiae</i> J. Verreaux & des Murs, 1862</th><td>Common Quail <i>Coturnix coturnix</i> (Linnaeus, 1758)</td></tr><tr><th>Black Penguin <i>Eudyptes atratus</i> Hutton, 1875</th><td>Fiordland Penguin <i>Eudyptes pachyrhynchus</i> G. R. Gray, 1845</td></tr><tr><th><i>Tetrastes griseiventris</i> Menzbier, 1880</th><td>Hazel Grouse <i>Tetrastes bonasia</i> (Linnaeus, 1758)</td></tr><tr><th><i>Monarcha ugiensis</i> Ramsay, 1882</th><td>Chestnut-bellied Monarch <i>Monarch castaneiventris</i> J. Verreaux, 1858</td></tr><tr><th>Cory’s Bittern <i>Ardetta neoxena</i> Cory, 1886</th><td>Least Bittern <i>Ixobrychus exilis</i> (J. F. Gmelin, 1789)</td></tr><tr><th>Sharpe’s Rail <i>Stictolimnas sharpei</i> Büttikofer, 1893</th><td>Buff-banded Rail <i>Gallirallus philippensis (Linnaeus, 1766)</i></td></tr><tr><th>Von Huegel’s Snipe <i>Gallinago huegeli</i> Tristram, 1893</th><td>New Zealand Snipe <i>Coenocorypha aucklandica</i> (G. R. Gray 1845)</td></tr><tr><th>Willkonsky’s Owl <i>Syrnium willkonskii</i> Menzbier, 1896</th><td>Tawny Owl <i>Strix aluco</i> Linnaeus, 1758</td></tr></tbody></table>
Figure 23 in The dark side of birds: melanism-facts and fiction
Figure 23. Pl. 14 in A. B. Meyer (1887) Unser Auer-, Rackel-und Birkwild und seine Abarten showing Black Grouse Lyrurus tetrix × ptarmigan Lagopus sp. hybrids (Hein van Grouw, © Natural History Museum, London)
Figure 12 in The dark side of birds: melanism-facts and fiction
Figure 12. Melanistic morph of Eurasian Blackcap Sylvia atricapilla heineken, Madeira, 27 April 2008; the normal black head markings have overrun their boundaries, whilst the rest of the plumage is darker as well (Hadoram Shirihai)
Figure 1 in The dark side of birds: melanism-facts and fiction
Figure 1. Hand-coloured copper engraving of 'Perdix fuscus' from Vorstellung der Vögel Deutschlands (1763) by Johann Leonhard Frisch; the same mutation as Brisson's Perdix montana, i.e. a melanistic Grey Partridge P. perdix (Hein van Grouw, © Natural History Museum, London)
Examining the representation of landscape and its emotional value in German-Swiss fiction around 1900
<p>This repository provides access to the main datasets used in Grisot, G & Herrmann, J. B. (2023) <em>Examining the representation of landscape and its emotional value in German-Swiss fiction around 1900.</em> The data set includes the following item:</p> <p>(1) <em>all_entities_new.Rdata</em>: comprehensive list of labelled spatial entities;</p> <p>(2) <em>corpus_summary_table.xlsx</em>: a summary of the corpus content;</p> <p>(3) <em>corpus_clean_partitioned.zip</em>: the entire corpus after removing stopwords;</p> <p>(4) <em>sentiment_lexicons.RData</em>: the sentiment lexicons for German used in our analyses;</p> <p>(5) tables with details of various analyses (<em>proportions_spatial_entities.xlsx, proportions_spatial_entities_by_country.xlsx, Spatial_entities_in_Corpus_by_category.xlsx</em>);</p> <p>(6) <em>Sentiment_lexicons_info.xlsx</em>: information about the content of the sentment lexicons.</p> <p>The study for which this data were collected explored the representation and affective encoding of fictional space in a corpus of 125 Swiss literary prose texts of the 19th and early 20th Century written in German, offering thus a contribution to both spatial and affective literary studies. Motivated by questions about the iconic dichotomy between urban and rural in literary works – and in Swiss literature in particular – we used computational methods to examine the types of space encoded in German-Swiss literature as well as the affective encoding associated with these space types. Taking into account the complexity of cultural perceptions and representations of space across history, we explore questions about affective encoding of rural, urban, and natural fictional spaces, as well as about their role in the construction of ‘Swiss’ national literature.</p>
The Value of Virtual Fictions: from Pokémon to NFTs
<p>Talk at the <a href="https://www.digital-philosophy.org/">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop (08/09/2022).</p>
When fiction becomes fact: exaggerating host manipulation by parasites
<p>In an era where some find fake news around every corner, the use of sensationalism has inevitably found its way into the scientific literature. This is especially the case for host manipulation by parasites, a phenomenon in which a parasite causes remarkable change in the appearance or behaviour of its host. This concept, which has deservedly garnered popular interest throughout the world in recent years, is nearly 50-years old. In the past two decades, the use of scientific metaphors, including anthropomorphisms and science fiction, to describe host manipulation has become more and more prevalent. It is possible that the repeated use of such catchy, yet misleading words in both the popular media and the scientific literature could unintentionally hamper our understanding of the complexity and extent of host manipulation, ultimately shaping its narrative in part or in full. In this commentary, the impacts of exaggerating host manipulation are brought to light by examining trends in the use of embellishing words. By looking at key examples of exaggerated claims from widely reported host-parasite systems found in the recent scientific literature, it would appear that some of the fiction surrounding host manipulation has since become fact.</p>
Supplementary code and data for the paper `From stage to page: language independent bootstrap measures of distinctiveness in fictional speech`
<p>The repository provides full data and processing / analysis pipeline for the paper <strong>'From stage to page: language independent bootstrap measures of distinctiveness in fictional speech</strong>'<br> <br> Rendered notebooks are also available through Github:</p> <p>1) <a href="https://github.com/perechen/difs-character-voices/blob/master/data/all_stars_clean.ipynb">Preparation, energy distance and exploration</a> (main)</p> <p>2) <a href="https://github.com/perechen/difs-character-voices/blob/master/03_analysis.md">Keyword curves & formal modeling</a></p> <p> </p> <p>- `00_dracor_get_data.R`. Script uses <a href="https://dracor.org/">DraCor</a> dedicated API to get texts spoken by characters</p> <p>- `01_distinctiveness_energy.ipynb` does the heavy lifting of data wrangling, cleaning and preprocessing, plus implements energy distance bootstrapping and does exploratory analysis</p> <p>- `02_logodds_curves.R` calculates keyword curves for characters<br> <br> - `03_analysis_and_models.R` explores keyword curves and does Bayesian models</p>
Protocol to Improve the Representation of the Reproductive Process in Spanish Fiction.
ClinicalTrials.gov study NCT06842004. IPD Sharing: NO. Countries: 1. Publications: 2.
When fiction becomes fact: exaggerating host manipulation by parasites
Open the record for dataset details and reuse information.
Language in academics, fiction and song
<p>This publication contains the DMP for the Intoduction to Research Data Managment for the following research project</p> <p>The research project showed how language differs between song lyrics and written text in academic and fictional context on the example of used key verbs. It compares over all diversity of used verbs as well as diversity within genres and individual texts. It also highlights the most frequently used verbs pre genre.</p> <p>The research project used the following existing resources.</p> <p>Sönning, Lukas, 2023, "Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Performance and reliability"", https://doi.org/10.18710/EUXSMW, DataverseNO, V1</p> <p>Bertin-Mahieux, Thierry et al. (2011). "The Million Song Dataset". In: Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011) </p> <p>musiXmatch dataset, the official lyrics collection for the Million Song Dataset, available at: <a href="http://millionsongdataset.com/musixmatch/index.html">http://millionsongdataset.com/musixmatch</a></p> <p>Last.fm dataset, the official song tags and song similarity collection for the Million Song Dataset, available at: <a href="http://millionsongdataset.com/lastfm/index.html">http://millionsongdataset.com/lastfm</a></p> <p>The data was produced by comparing and querying the existing data sources. This is documented in queries.sql.</p> <p>A library or software to access the Database is needed. DB Browser for SQLite was used in this research project and is free, open source and easy to use and therefore recomended for potential users.</p>
Block-oriented description of a fictional CHP generation plant for unit commitment testing
<p>Block-oriented description of a fictional combined heat&power generation plant for unit commitment testing.</p> <p>Example input data is available at: https://doi.org/10.5281/zenodo.10875471</p>
Panel: Science Fiction & SETI
<p>Tessa Fisher moderated this panel about Science Fiction and SETI, featuring Kemi Ashing-Giwa, Elly Bangs, Sue Burke, Dr. Ruthanna Emrys, Arula Ratnakar, Dr. Peter Watts, and Mason Williams.</p>
FIGURE 2 in The recently proposed odonatan 'suborder' Cephalozygoptera: fact or fiction
FIGURE 2. Heads of Sieblosiidae and Lestidae. A, Stenolestes falloti (Théobald, 1937), holotype MNHN-F-B.24507. B, Undescribed Lestidae (late Eocene, Tibet, China). Scale bars = 5 mm (A), 2 mm (B).
FIGURE 1 in The recently proposed odonatan 'suborder' Cephalozygoptera: fact or fiction
FIGURE 1. Lestes ceresti Nel & Papazian, 1985, holotype MNHN-F-R.07445, Head. A, Part. B, Counterpart. Scale bars = 5 mm.
Topic model of English-language fiction, 1880-1999, with 200 topics.
<p>A topic model of 29,341 volumes of fiction, written in English and published between 1880 and 1999. The underlying corpus was organized by Ted Underwood for an experiment on period and cohort effects in cultural change. Metadata is in finalcorpus.tsv (which also has rows for 10 volumes not actually included in the model). </p> <p>To identify volumes as fiction, we relied on the NovelTM Dataset of English-Language Fiction (https://culturalanalytics.org/article/13147-noveltm-datasets-for-english-language-fiction-1700-2009). To confirm birth years of authors and publication dates of books, we compared NovelTM metadata both to the Chicago Novel Corpus and to a copy of the US Copyright Registry, digitized by the New York Public Library (https://github.com/NYPL/catalog_of_copyright_entries_project).</p> <p>The corpus itself is in cohort4.txt.gz; each line represents a roughly 10,000-word "chunk" of a document. The first 15% and last 5% of pages in each volume were discarded; the remaining pages were divided into chunks of roughly equal size. Chunk id is the first token on each line; it is formed by taking a HathiTrust volume id and adding an underscore + sequential integer (chunk number). Removing the underscore and integer produces a "document id" that can be paired to the metadata. The words in the line are not presented in original order; they are taken from HathiTrust Extracted Features, which records only page-level word counts.</p> <p>The topic model was produced using MALLET (http://mallet.cs.umass.edu/index.php), and has 200 topics.</p> <p>The top words in each topic are listed in the "keys" file; document-topic proportions are listed in "doctopics."</p> <p>For more information on the construction of the corpus and the experiment it is designed to support, see https://github.com/tedunderwood/period-cohort and/or a permanent Zenodo object created from that repository.</p>
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