Assessing Mandate Creep in Ontario Conservation Authorities: An Analysis of Revenue Stream Dynamics
Bibliographic record
Abstract
The purpose of this study is to analyze the revenue growth trends of Conservation Authorities (CAs) across Ontario from 2013 to 2023. There is a particular focus on investigating whether CAs have expanded their programs and services beyond the core functions outlined by the provincial government in light of legislative changes and statements aimed to curtail the independence of CAs. This paper aims to evaluate this by analyzing CAs' revenue model over time and examining changes in the temporal trends of authority-generated revenue. The underlying assumption is that a proportional growth in self-generated revenue indicates an expansion of operations into "non-core mandated" programs and services, which may signify a "mandate creep". The study will delve into the financial data of the CAs to assess the extent to which they have been generating revenue independently. This will shed light on whether there has been a notable shift towards offering programs and services exceeding their mandated core functions. Through investigation it is found that there is evidence of a mandate creep among CA’s, but more thorough research into the specific programmatic causes of this is required.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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".