Bibliographic record
Abstract
Qo 10,1 est un texte qui ne nécessite aucune correction textuelle. Du point de vue de l’analyse structurelle, Qo 9,18b-10,1a est un commentaire critique de Qo 9,18a, tandis que Qo 10,1b s’oppose à Qo 9,17. L’idée dominante de ce verset peut se résumer comme suit : Qo 10,1 relativise la valeur traditionnelle de la sagesse. Plus précisément, Qo 9,18b-10,1a évoque le monde politico-militaire qui a le pouvoir de détruire le bonheur, tandis que Qo 10,1b souligne qu’un peu de folie a plus de valeur que la sagesse et la gloire. Le mot clé est ici m‘t , « un peu ». Il rappelle, non sans ironie, que ni la sagesse ni la folie ne peuvent garantir le bonheur et la sécurité (cf. Qo 7,16-17).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".