Bibliographic record
Abstract
Doctoral Theses / Thèses de doctoratAgbam, Komlanvi Issifou.Le contrat face à l'imprévision dans les pays francophones d'Afrique subsaharienne : essai d'une analyse normative socio-économique, Université Laval.Agbavon, Kokougan Désiré.La protection des gens de mer à l'épreuve de l'activité des agences de fourniture de main-d'œuvre maritime, Université Laval.Aké, Tchimou Yannick Kévin.La réparation devant la Cour pénale internationale : quel droit pour les victimes?, Université de Montréal.Alexandre, Caecilia.Les Conventions patrimoniales de l'UNESCO à l'épreuve du respect des droits culturels des peuples autochtones, Université Laval.Bacon-Dussault, Malaïka.La Convention sur le commerce international des espèces de faune et de flore menacées d'extinction (CITES) : vers la conservation des espèces menacées dans une perspective de développement durable?, Université Laval.Bado, Issa.L'encadrement juridique de la séquestration artificielle du carbone en droit international et national : quelle précaution pour quels risques à l'ère de l'Accord de Paris ?, Université Laval.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.199 | 0.097 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".