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
Powerless under the country's constitution, Canadian municipal governments often find themselves in conflict with their provincial masters. In 2002, the Province of Quebec forcibly merged all cities on the Island of Montreal into a single municipality - a decision that was partially reversed in 2006. The first book-length study of the series of mergers imposed by the Parti Québécois government, The Merger Delusion is a sharp and insightful critique by a key player in anti-merger politics. Peter Trent, mayor of the City of Westmount, Quebec, foresaw the numerous financial and institutional problems posed by amalgamating municipalities into megacities. Here, he presents a stirring and detailed account of the battle he led against the provincial government, the City of Montreal, the Board of Trade, and many of his former colleagues. Describing how he took the struggle all the way to the Supreme Court of Canada, Trent demonstrates the ways in which de-mergers resonated with voters and eventually helped the Quebec Liberal Party win the 2003 provincial election. As the cost and pitfalls of forced mergers become clearer in hindsight, The Merger Delusion recounts a compelling case study with broad implications for cities across the globe.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it