Bibliographic record
Abstract
La lecture de cette etude commentee sur le premier livre de la Bible, a la fois rassure et suscite la curiosite d’entree de jeu. Le Dr Simeon Kubulana Matendo a le merite, au-dela du recit sur la creation, d’entrainer le lecteur dans un «voyage» fait de decouvertes successives encore d’actualite, entre autres sur la marche du Createur avec ses creatures, placees dans un environnement qu’elles sont censees gerer, dans une relation faite de hauts et de bas (ruptures, egarements, obeissance, epreuves, trahisons, violences, reconciliation, promesses de benediction, etc.). L’auteur a su tirer parti de l’humilite et la simplicite qui le caracterisent pour mettre a la disposition du lecteur et du domaine dans lequel s’inscrit ce livre (Theologie biblique), une contribution de qualite, qui pourrait servir de piste pour des recherches futures, en cette periode de quete de la Parole de Dieu inculturee. Aime Matundu-Lelo Charge de cours, Universite du Quebec a Montreal (UQAM), Quebec (Canada) Conseiller academique du Recteur du CUPEI (Bruxelles/Belgique).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.004 |
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.
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".