<scp>A</scp>demographic and career profile of municipal<scp>CAOs</scp>in<scp>C</scp>anada: Implications for local governance
Bibliographic record
Abstract
Abstract Little has been written about the Canadian municipal chief administrative officer ( CAO ). Given the growing importance of municipalities, it is an important gap in the literature. This article depicts CAOs as a group of older white men, highly educated and very experienced. Given the impending retirement of a significant number of CAOs , municipalities have an opportunity to achieve a greater degree of representativeness. The authors identify a number of research trajectories to enhance our knowledge and understanding of this critical administrative position. Sommaire Il existe peu de documents sur les chefs des services municipaux au C anada. Étant donné l'importance croissante des municipalités, cela représente une grave lacune dans la documentation. Cet article décrit les chefs des services municipaux comme un groupe d'hommes blancs d'un certain âge, ayant un haut niveau d'études et une grande expérience. Comme un grand nombre d'entre eux vont prendre leur retraite d'ici peu, les municipalités ont une occasion de parvenir à un plus grand degré de représentativité. Les auteurs identifient un certain nombre de pistes de recherche pour améliorer nos connaissances et notre compréhension de cette fonction administrative cruciale.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".