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Record W4297394486 · doi:10.1017/glj.2022.66

Legal Scholars Engaging with Social Anthropology: Hardships and Gains

2022· article· en· W4297394486 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGerman Law Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsArgumentation theoryToolboxSociologyFace (sociological concept)Variety (cybernetics)GermanPolitical scienceLawEpistemologySocial scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract This special issue of the German Law Journal showcases through concrete examples the conceptual and methodological toolbox that social anthropology has to offer and the added value of applying an anthropologically informed approach to legal thinking, argumentation, and practice. The contributions address a wide variety of highly topical, controversial social issues that are at the heart of the human condition, including gender recognition for non-binary people, family disputes brought before international courts, non-majoritarian language use in administrative settings, forced migration, and the impact of climate change and infrastructural development on local communities worldwide. This introduction outlines the research program into which the contributions gathered here fit; the choice of topics; and finally, the challenges the authors face in the process of integrating their intellectual encounter with anthropology into their reflections on law. The article concludes that taking recourse to anthropology can help jurists trained in state law to develop a more refined understanding of today’s societal complexity and challenges and, ultimately, to reach more nuanced, sensitive, and just decisions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.383
Teacher spread0.327 · 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