Bibliographic record
Abstract
At presently, the Academic dishonorable behavior had become a bad phenomenon in the academic circles. This paper points out that it was the result of the whole of the academic exchange system, and the author is only one of respect. The paper analyzes the causes of and countermeasures from authors, publishers, library and information institutions, users, etc.. And pointes out that the phenomenon of academic belongs to social problem that requires a wide range of common boycott. Key words : Academic dishonorable behavior; Academic exchange system; Analysis of reasons Resume A l’heure actuelle, le comportement deshonorant de l’academique est devenue un phenomene mal dans les milieux universitaires. Ce document souligne que c'etait le resultat de l’ensemble du systeme d’echange universitaire, et l’auteur est un seul de respect. Le document analyse les causes et les contre-mesures par des auteurs, des editeurs, des institutions de bibliotheques et d’information, les utilisateurs, etc et souligne que le phenomene de la academique appartient a un probleme social qui necessite un large eventail de boycott commune. Mots cles : Comportement deshonorant de l’enseignement; Academique du Systeme d’echange; Analyse des raisons
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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 | 0.015 | 0.083 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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; 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".