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Record W6922081814 · doi:10.1108/s1059-4337201979

Studies in Law, Politics, and Society

2019· book· en· W6922081814 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)PoliticsRefugeeShariaPublic lawComparative lawSocial movement

Abstract

fetched live from OpenAlex

This special issue of Studies in Law, Politics and Society contains two sections. In the first, 'Religious Inspirations and Legal Responses', contributors examine the interaction between law and religion. They consider the liberal tradition in which the law stands in stark opposition to religion, as well as traditions in which the law is inseparable from the sacred, revealing the complex and often controversial relationship between law and religion. Case studies include religious education, Sharia debates in Australia, Canada and the U.K., and same-sex marriage in the U.S. The second section, 'Law and Social Change: Old Questions, New Answers', examines the ways in which the law simultaneously enhances and inhibits projects of social change. The varied ways in which legal institutions respond to social movements are analyzed, along with the cultural contingencies associated with law's ability to promote change, and what we can learn about law and social change by examining societies across the globe. Case studies include refugee and asylum seeker detention and the political risks of litigation in the U.S.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0040.005
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0490.017

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 head0.170
GPT teacher head0.478
Teacher spread0.309 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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