L’affaire SNC-Lavalin : les intérêts économiques nationaux et l’assouplissement des lois anticorruption
Bibliographic record
Abstract
Les scandales de corruption réduisent-ils le pouvoir politique des grandes entreprises ? Les réactions de la presse et des gouvernements aux enquêtes et accusations de corruption concernant SNC Lavalin montrent que malgré toutes les mauvaises nouvelles, la firme a bénéficié de décisions lui permettant d’éviter une reconnaissance de culpabilité et de préserver ses contrats publics. Pour expliquer ces résultats, l’hypothèse du nationalisme économique comme « cadre » est soumise à l’examen. Lorsque les sanctions pour punir les entreprises visées par la corruption sont cadrées comme des coûts qui menacent l’économie nationale, le bruit autour de la corruption importe peu. Il est neutralisé par le nationalisme économique, que les dirigeants de firmes mobilisent pour construire des coalitions de soutien en faveur de règles anticorruption qui ne désavantagent pas « nos entreprises » par rapport à leurs concurrents étrangers.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".