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Record W7138835557 · doi:10.7202/1124007ar

Linos-Alexandre Sicilianos, « La dimension humaine du droit international — cours général de droit international public » dans Recueil des cours de l’Académie de droit international de La Haye, vol 440, Leiden, Brill Nijhoff, 2024

2024· article· fr· W7138835557 on OpenAlexvenueaboutno aff
David Pavot

Bibliographic record

VenueRevue québécoise de droit international · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsInternational lawHuman rightsInternational investmentPublic international lawConflict of lawsDimension (graph theory)

Abstract

fetched live from OpenAlex

Linos-Alexandre Sicilianos, « La dimension humaine du droit international — cours général de droit international public » dans Recueil des cours de l’Académie de droit international de La Haye, vol 440, Leiden, Brill Nijhoff, 2024. Un article de la revue Revue québécoise de droit international / Quebec Journal of International Law / Revista quebequense de derecho internacional (Volume 37, numéro 2, 2024, p. 13-267) diffusée par la plateforme Érudit.

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)0.002
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.622
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0100.006
Scholarly communication0.0070.005
Open science0.0020.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0170.004

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 head0.015
GPT teacher head0.276
Teacher spread0.261 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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