How did the disclosure of lobbying targeting Quebec's hospitals become mandatory and with what effect?
Bibliographic record
Abstract
Abstract In 2015 mandatory disclosure activity for lobbying that targeted health and social service centres in Quebec, a sector which consumes a significant share of the annual spending budget, suddenly became a mandatory disclosure activity for lobbyists operating in the province. This research note traces the trajectory of key events that led to this shift towards greater lobbying transparency in the health care sector. The study also analyzes whether this change was followed by increased lobbying registrations for activities targeting health sector institutions. The article's findings suggest that significant change in lobbying regulation may occur accidentally, against the government's will, rather than as a result of an ethical scandal, cross‐jurisdictional learning, or electoral calculations, as the literature suggests. The article's findings also show that the change was followed by an increase of about 969 registered firm lobbyists (p‐value 0.015) and 254 registered lobbyists from covered NGOs (p‐value 0.00).
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".