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Record W1981089328 · doi:10.7202/1026981ar

L’essence des approches du droit cyberspatial et l’opportunité de la co-régulation

2014· article· fr· W1981089328 on OpenAlexaffvenue
Serge Kablan, Arthur Oulaï

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsUniversité de SherbrookeUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La présente étude situe la réalité et l’importance de l’activité régulatrice des acteurs du cyberespace. Le texte, qui choisit l’angle de l’analyse juridique, définit le cyberespace et évalue son impact sur l’effectivité des normes formelles étatiques. Il tente ensuite de démontrer comment le produit de l’activité autorégulatrice du cyberespace, incarné par les normes informelles, pourrait constituer le complément normatif des normes formelles. La démonstration inclut la définition et l’identification des caractères et des sources des normes informelles, de même que l’appréciation de leurs effets et du regard que les législateurs et les juges y portent. Elle ouvre, enfin, sur les perspectives de cette approche de co-régulation.

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)0.018
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.026
Scholarly communication0.0140.009
Open science0.0020.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.303
Teacher spread0.280 · 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 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

Citations1
Published2014
Admission routes2
Has abstractyes

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