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Record W4213140163 · doi:10.1111/jols.12351

SLSA E‐Newsletter

2022· article· en· W4213140163 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Law and Society · 2022
Typearticle
Languageen
FieldComputer Science
TopicArtificial Intelligence Applications
Canadian institutionsnot available
FundersSchool of Law, University of WarwickUniversity of WestminsterKeele UniversityUniversity of SussexUniversity of LeedsQueen's UniversityUniversity of LeicesterUniversity of ExeterUniversity of WarwickNorthumbria UniversityQueen Mary University of LondonQueen's University BelfastUniversity College LondonLeeds Beckett University
KeywordsCitationComputer scienceInformation retrievalLibrary scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Cardiff University's School of Law and Politics in its 50th-anniversary year.More than 530 abstracts have been received from 43 counties for the 32 streams and seven current topics.The current topics this year are as diverse as they are topical and include: 'Disability, Law and Social Justice', 'Epistemic Injustice and Socio-Legal Studies', 'Interdisciplinarity in Socio-Legal Research and Education', 'Registering the Everyday: Documents, Bureaucracy, and the Socio-Legal', 'Hybrid Civil/Criminal Procedures: Critical and Cross-Disciplinary Perspectives' and 'Socio-Legal Studies in Wales'.Thanks to generous sponsorship from the Journal of Law and Society, the Modern Law Review and Social and Legal Studies, the conference will be held using the Virt-Us Live Virtual Event Platform.This user-friendly platform allows the hallmarks of the SLSA conference to continue online by retaining live face-toface conversations between presenters and audiences, opportunities to meet and network, and an interactive poster gallery.With support from the Learned Society of Wales and Professor Patricia Tuitt we have been able award 22 bursaries to enable scholars to join us from around the world.SLSa 2021 PGr

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.216
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.7840.651

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.281
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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