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Record W3123196425

Law and Learning 'from the Field': The Pedagogical Relevance of Collaborative Teacher-Student Empirical Legal Research

2011· article· en· W3123196425 on OpenAlexaff
Sarah Berger Richardson, Angela Campbell

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsMcGill UniversityUniversity of Ottawa
Fundersnot available
KeywordsRelevance (law)Perspective (graphical)Field (mathematics)Value (mathematics)Empirical researchLegal researchLegal educationEmpirical legal studiesPosition (finance)PerceptionPedagogySociologyMathematics educationEngineering ethicsPolitical scienceLawPsychologyEpistemologyEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Le présent article explore la valeur pédagogique et la pertinence de faire de la recherche empirique en éducation juridique. Les auteures sont une professeure et une étudiante en droit qui ont collaboré dans une étude empirique sur les femmes et la polygamie. Chaque auteure raconte : (1) ses attentes et ses expériences concernant ce projet de recherche; (2) comment la collaboration dans la recherche empirique a modifié la structure de la relation étudiante-professeure; et (3) sa perception de la façon dont l’importance de la recherche empirique peut être reconnue dans le cadre de l’éducation juridique. L’analyse met en lumière le fait que des phénomènes similaires peuvent donner lieu à une compréhension et à des interprétations différentes, selon la perspective et la situation de chacun et de chacune. De plus, elle souligne l’importance d’intégrer les idées et les opinions des étudiants et des étudiantes dans la conception et l’exercice de l’enseignement.

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 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)0.002
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: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.200
GPT teacher head0.431
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2011
Admission routes1
Has abstractyes

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