Bibliographic record
Abstract
Dans cet article, le trouble de la personnalité connu sous le nom de « narcissisme malin » est présenté. Ce concept est par la suite utilisé pour expliquer la création, par le dirigeant d’un groupe, de politiques organisationnelles destinées à contrer les personnes qu’il considérait comme ennemies, mettant en évidence la rage narcissique à l’oeuvre. Notre argument est examiné à la lumière d’une étude de cas dans laquelle il est démontré que le dirigeant a tenté de discréditer les détracteurs du groupe, transposant sa rage narcissique dans des politiques organisationnelles que des membres loyaux adoptaient pour lui. À l’aide d’observations psychologiques de la personnalité du chef et, par la suite, en démontrant comment celle-ci est à la source de politiques et d’actions socialement déviantes, nous espérons encourager les criminologues à examiner d’autres groupes en appliquant des théories semblables.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".