Criminal-private-sector-corruption : Mafia involvement as brokers and patrons in construction contracts in Montreal
Bibliographic record
Abstract
Starting in 2012, several industry-insiders described a system of corruption to the Charbonneau Commission, an inquiry by the Quebec Government to investigate corruption in Montreal’s public works contract tenders. Many testified about a cartel-like system where construction companies colluded to win bids. Funds from the public contracts were \ndiverted to corrupt bureaucrats, political parties, city engineers, and to the Rizzuto Mafia family. The relationship between private sector construction companies and the mafia is an illustration of Criminal-Private-Sector-Corruption, because it involves corruption of private sectors by a criminal organization. Morselli's network analysis model and Albini’s patron-client model will be applied to this case to better understand the nature of CPSC. This thesis argues that CPSC within the Montreal construction industry persisted over time due to the construction industries’ natural \nsusceptibility to corruption, the use of racketeering and bid-rigging, and due to Vito Rizzuto acting as a ‘broker’ within the criminal network.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".