Bibliographic record
Abstract
Currently in her tenth term as Mayor, Hazel McCallion is the longest serving mayor in the City of Mississauga's history with over 25 years in office. Presently she sits on many boards, panels and committees. She was also Chair of the Central Ontario Smart Growth Panel, a panel which advised the Provincial Government on how to plan for growth in Central Ontario. She has been honored with numerous awards and distinctions including World Mayor 2004 finalist. The University of Toronto at Mississauga has also named the Hazel McCallion Academic Learning Centre in her honor. In 2005, she was appointed Member of the Order of Canada and was runner-up for World Mayor 2005. In 2006, Mayor McCallion was recognized as the CNW Group Communicator of the Year by the Toronto Chapter of the International Association of Business Communicators (I ABC). The text that follows is an edited version of a paper presented by the author at the Natural City conference - "SuccessStories"- organized by the Centre for Environment, University of Toronto from 31 May to 2 June, 2006.
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.
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 | 0.000 | 0.000 |
| 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".