The “Normalization” of Deviance: A Case Study on the Process Underlying the Adoption of Deviant Behavior
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY In 2011, the Québec government launched the Charbonneau Commission, a monumental public inquiry tasked with getting to the bottom of a major collusion and corruption scandal involving elected officials, municipal employees, and construction industry contractors. The scandal concerned the awarding of municipal contracts that led to a significant waste of public funds. Yet, at the time, all municipal sector organizations involved were regulated by several controls, particularly in the granting of public contracts. How could the situation deteriorate to the point where collusion became the “usual” way of managing public contracts, particularly in the City of Montréal? The objective of this article is to better understand how deviance became the “norm,” such that the social actors involved came to adopt a deviant identity rather than obeying socially accepted rules. Conceptually inspired by the work of Becker (1963), Foucault (1977), and Giddens (1991), this article is based on the in-depth testimonies of two key actors in the collusion scheme. Our aim is to better understand the process leading to the adoption of deviant behavior and the often illusory character of organizational and regulatory controls.
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.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it