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Record W2591491183 · doi:10.7202/1038711ar

La contribution des blogues juridiques à la connaissance, à la critique et aux transformations du droit

2017· article· fr· W2591491183 on OpenAlexaffvenueabout
Édith Guilhermont

Bibliographic record

VenueMcGill Law Journal · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le blogging juridique est un phénomène tout juste émergent au Québec comparativement à d’autres systèmes juridiques où il est pratiqué de longue date. La blogosphère juridique québécoise compte aujourd’hui une cinquantaine de blogues actifs. Ceux-ci demeurent encore largement méconnus de la communauté juridique, qui ne leur accorde généralement pas de valeur. Ils sont pourtant des outils efficaces de diffusion de la doctrine juridique et de commentaires de jurisprudence, que les juges québécois hésitent d’ailleurs beaucoup moins à utiliser. Cet article tente de montrer, en s’appuyant notamment sur des exemples étrangers et québécois, dans quelle mesure les blogues juridiques peuvent contribuer, de manière originale, non seulement à la diffusion du savoir juridique, mais aussi à la critique et aux transformations du droit. Pour ce faire, le présent texte propose avant tout de dresser un portrait en instantané de la blogosphère juridique québécoise. Il se poursuit par une discussion au sujet de la nature et de la valeur de la contribution des blogues, et finit par s’interroger sur l’influence, réelle ou potentielle, des blogues juridiques sur les acteurs du droit.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
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 score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0160.003
Scholarly communication0.0020.007
Open science0.0000.000
Research integrity0.0000.002
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 head0.049
GPT teacher head0.405
Teacher spread0.355 · 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 designTheoretical or conceptual
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
Published2017
Admission routes3
Has abstractyes

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