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119 results for “arguments”
Argument-seeking conversations in german
<p>This data set consists of ten conversations. The text files are the unedited transcripts of the conversations. The pdf files contain the conversations divided into their respective subtopics.</p>
Argument maps as tools to support the development of new media literacies: a systematic review.
<p>The post-digital era is characterized by the vast presence of platforms imposing their digital affordances and algorithmic control on our behavior. This environment is challenging education and training, with implications for digital and transmedial literacy. Investigating instructional methodologies is crucial to foster critical comprehension of such novel informational environments. The argument maps (AM), which were first created and evaluated in static information contexts (analogical/old web), could be useful in the emergence of dynamic (post-digital) textual forms.</p> <p>The current paper describes a comprehensive literature review based on the assumptions above. We looked into state of the art in research on using AM to handle dynamic information. We found 150 papers using a PRISMA procedure and then examined 25 of them. Our review produced pertinent data about the current state of AM, including the sorts of texts on which they are used and the tools (especially digital and AI-based) that have been employed. Our research lays the groundwork for teaching the literacies needed in new informational settings, such as multimodal, dynamic, algorithmic, and data-driven contexts, with a specific focus on AM as an effective mediational tool.</p> <p>This Zenodo record presents the full dataset composed of the following sheets:</p> <ol> <li>Codebook</li> <li>Italian Journals</li> <li>List of articles extracted from SCOPUS</li> <li>List of articles extracted from ERIC</li> <li>List of articles extracted from WOS</li> <li>List of articles extracted from DOAJ</li> <li>PRISMA workflow</li> <li>Analysis - First Level (classification of 25 articles selected)</li> <li>Analysis - Second Level (List of 19 articles selected)</li> <li>Final Dataset</li> <li>Interrater Agreement.</li> </ol> <p>As for the Keywords' Map, a primo file .txt displays the text over which basis was performed the keyword maps analysis. The second .txt file shows notes relating to the analysis procedures using the software VOS-Viewer <a href="http://www.vosviewer.com/">http://www.vosviewer.com/</a> </p> <p>Any comments or improvements are welcome!</p>
Dataset for the paper "The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study"
<p>This is the replication package of the article</p> <p>The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study</p> <p> </p> <p>Abstract:</p> <p>Modern programming languages (such as Python, but not only) have introduced a variety of constructs and syntactical elements to make software development more efficient and concise. Examples include lambda functions, comprehension collections, of mechanisms to facilitate the passing of arguments to a function. While many of such constructs may, in principle, be beneficial for developers, recent studies have shown that certain programming constructs introduce atoms of confusion, and may therefore affect program understanding. Moreover, recent work has shown that changes to some constructs, namely functional constructs of Python, induce more fixes than other changes. This paper studies the effect of different Python argument-passing mechanisms to investigate their relationship with code proneness to be fixed. Specifically, we study the fix-proneness for what concerns the function definition, as well as its invocation. This is done by analyzing the evolutionary history of 200 Python projects, for a total of about 3M functions and 12M call sites. While there are varying effects for what concerns parameter declaration mechanisms, we found evidence that keyword-based argument passing is less defect prone than positional argument passing, and this is not affected by size-related confounding factors.</p>
Anonymized data for "The Impact of Argument Arrangement on Persuasiveness in Online Discussions"
<p>Anonymous upload of the data for the paper "The Impact of Argument Arrangement on Persuasiveness in Online Discussions" for blind review.</p>
R Notebook and Dataset for "Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -kan" (1.0.0)
<p>This repository contains the dataset and R codes for our paper that has been published in <a href="http://www.aa.tufs.ac.jp/en/publications/nusa">NUSA</a> (<i>Linguistic studies of languages in and around Indonesia</i>) special volume (74) on "Applicatives in Austronesian Languages".</p><h4>How to cite the paper</h4><p>Rajeg, Gede Primahadi Wijaya & I Wayan Arka. 2023. Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -<i>kan</i>. In Jocelyn Aznar, Christian Döhler & Jozina Vander Klok (eds.), <i>NUSA (special issue on "Applicatives in Austronesian Languages")</i>, vol. 74, 83–114. <a href="https://tufs.repo.nii.ac.jp/records/2000019">https://tufs.repo.nii.ac.jp/records/2000019</a>.</p><h4>Description of the repository</h4><p>The .qmd file contains the R codes used to produce the quantitative analyses in the paper, including the statistical figures. This .qmd file also interweaves some text narratives with the codes. The file is published as a webpage at: <a href="https://gederajeg.github.io/applicative-buy/">https://gederajeg.github.io/applicative-buy/</a></p><p>The raw, annotated concordance data is located in the <a href="https://github.com/gederajeg/applicative-buy/tree/main/data">data</a> directory.</p><p>The statistical figures can also be accessed individually <a href="https://github.com/gederajeg/applicative-buy/tree/main/nusa-applicative-code_files/figure-html">here</a>.</p>
TACO: Twitter Arguments from COnversations
<p>This marks the open-source release of TACO.</p> <p>For access to the original data, kindly get in touch with the authors.</p>
Data from: A dominance hypothesis argument for historical genetic gains and the fixation of heterosis in octoploid strawberry
Open the record for dataset details and reuse information.
Data from: Which arthropods have feet and why? Addressing an argument for aquatic fossil scorpions
Open the record for dataset details and reuse information.
Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)
<p>The Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) contains 1271 arguments spanning 20 topics with scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are inferred from a total of 42k pairwise judgments. Arguments are sourced from the <a href="https://zenodo.org/record/3734893">args.me corpus</a>.</p>
Locally Solvable Tasks and the Limitations of Valency Arguments (video)
Full video presentation of the paper: Locally Solvable Tasks and the Limitations of Valency Arguments.<br><br>Appears in Session 3 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Slightly corrected dataset for the paper "Areal and diachronic trends in argument flagging across Slavic"
<p>This is the database for the paper "<strong>Areal and diachronic trends in argument flagging across Slavic" by </strong></p> <p>Ilja A. Seržant,<sup>1</sup> Björn Wiemer,<sup>2</sup> Eleni Bužarovska,<sup>3</sup> Martina Ivanová,<sup>4</sup> Maxim Makartsev,<sup>5</sup> Stefan Savić,<sup>6</sup> Dmitri Sitchinava,<sup>7</sup> Karolína Skwarska,<sup>8</sup> Mladen Uhlik<sup>9</sup></p> <p><sup>1</sup>Institute of Slavonic Studies, Christian-Albrechts-University Kiel, <sup>2</sup>Institute of Slavic, Turkic and Circum-Baltic Studies, Johannes-Gutenberg-University Mainz, <sup>3</sup>Ss. Cyril and Methodius University Skopje, <sup>4</sup>University of Prešov, <sup>4</sup>Ľ. Štúr Institute of Linguistics, Slovak Academy of Sciences, <sup>5</sup>Institute of Slavic Studies, Carl von Ossietzky University in Oldenburg, <sup>5</sup>Institute of Slavic Studies, Russian Academy of Sciences (Moscow), <sup>6</sup>Rhodes University, <sup>7</sup>Institute of Russian Languages, Russian Academy of Sciences; School of Linguistics, HSE University,<sup> 8</sup>Institute of Slavonic Studies of the CAS, <sup>9</sup>University of Ljubljana, <sup>9</sup>Fran Ramovš Institute of Slovenian Language (Research Centre of the Slovenian Academy of Science and Arts).</p>
DIAeT - Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees
<p>Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees</p>
M-Arg: Multimodal Multimodal Argument Mining Dataset
<p>No description provided.</p>
German Argument Similarity dataset (GerArgSimilarity)
<p>This is the German-language argument similarity dataset accompanying our paper titled <em>Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments</em> (to be presented at LREC 2022). It consists of 2940 argumentative pairs of text snippets in German which are annotated for argument similarity on a scale from 0 (<em>no similarity</em>) to 4 (<em>high similarity</em>). The snippets cover arguments on 3 discussion topics. Please refer to the paper for details.</p>
Touché22-Argument-Retrieval-for-Controversial-Questions
<p>Data for the <a href="https://touche.webis.de/clef22/touche22-web/argument-retrieval-for-controversial-questions.html">Argument Retrieval for Controversial Questions task</a> at Touché 2022.</p>
Touché22-Argument-Retrieval-for-Comparative-Questions
<p>Data for the <a href="https://touche.webis.de/clef22/touche22-web/argument-retrieval-for-comparative-questions.html">Argument Retrieval for Comparative Questions task</a> at Touché 2022.</p>
Supplementary material 1 from: Müller A, Maes J (2015) Arguments for biodiversity conservation in Natura 2000 sites: An analysis based on LIFE projects. Nature Conservation 12: 1-26. https://doi.org/10.3897/natureconservation.12.4848
Interview protocol: Explanation note: List of questions used by the interviewer during the telephone interview with project managers.
Touché21-Argument-Retrieval-for-Controversial-Questions
<p>Data for the <a href="https://touche.webis.de/clef21/touche21-web/argument-retrieval-for-controversial-questions">Argument Retrieval for Controversial Questions task</a> at Touché 2021.</p>
Data for: "Can Language Models Recognize Convincing Arguments?"
<p>For a description, see: https://go.epfl.ch/persuasion-llm</p>
FIGURE 4 in Revisiting the description of Atractoscion macrolepis (Perciformes: Sciaenidae): Another argument for comprehensive taxonomy
FIGURE 4. Scatterplot of individuals of Atractoscion aequidens (red circles) and A. macrolepis (blue circles) along Principal Components 2 (explaining 12.6% of the observed variation) and 3 (9.8%) from the Principal Components Analysis of eight transformed otolith variables. 95% confidence ellipses are indicated for each species, overlayed in the respective colours.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.