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Record W4213140163 · doi:10.1111/jols.12351

SLSA E‐Newsletter

2022· article· en· W4213140163 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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