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Record W4249529297 · doi:10.4000/communication.5275

Chris ARMSTRONG, Jeremy DE BEER, Achal PRABHALA et Tobia SCHONWETTER (dir.) (2010), L’accès au savoir en Afrique. Le rôle du droit d’auteur

2015· article· fr· W4249529297 on OpenAlexvenueno aff
Emmanuel Derieux

Bibliographic record

VenueCommunication · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesAuteur theoryArtPhilosophyArt historyMovie theater

Abstract

fetched live from OpenAlex

Au-delà même du sujet analysé, l’ouvrage constitue un modèle particulièrement réussi de la manière dont devraient être menées les études de droit comparé.Sur la question des relations entre droit d’auteur et accès au savoir, ainsi facilité ou au contraire freiné, les équipes de chercheurs (essentiellement juristes, mais qui intègrent aussi des données économiques et les résultats d’observations et d’enquêtes sur le terrain) de huit pays africains (Égypte, Ghana, Kenya, Maroc, Mozambique, Sén...

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)0.003
metaresearch head score (Gemma)0.007
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: Review · Consensus signal: Review
Teacher disagreement score0.076
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0040.004
Scholarly communication0.0060.008
Open science0.0010.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0100.004

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 head0.045
GPT teacher head0.245
Teacher spread0.200 · 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
GenreReview

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
Published2015
Admission routes1
Has abstractyes

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