Bibliographic record
Abstract
Ce 4e Festival s’est déroulé en Nouvelle-Calédonie du 12 au 24 septembre 2010. Les manifestations, qui ont eu lieu sur l’ensemble du territoire de la Grande-Terre et des îles Loyauté, ont rassemblé un millier de participants, chanteurs, danseurs, artisans, détenteurs de savoir-faire traditionnels venus de tous les pays de l’arc mélanésien : Papouasie-Nouvelle-Guinée, îles Salomon, Fidji, Vanuatu, ainsi que du pays hôte la Nouvelle-Calédonie. L’organisation de ces douze jours de festivités, où les traditions mélanésiennes ont pu déployer leurs fabuleuses richesses sur une dizaine de sites, a été confiée au Centre Culturel Tjibaou. À quelques jours de la clôture de cet événement exceptionnel qui a attiré plus de 30 000 spectateurs, son directeur, Emmanuel Kasarhérou, éclaire ses lignes de force en dégageant le sens profond de la démarche à la fois culturelle et festive qui a conduit sa réalisation.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".