Exploring the behavioural attributes, strategies and contextual knowledge of champions of change in the Canadian water sector
Bibliographic record
Abstract
Sustainable water resource management (WRM) is failing to be fully implemented in Canada due to, among other things, cultural and structural inhibiting factors. There is a need for water professionals to develop their understanding of the ways in which cultural and structural barriers within prominent water resource management institutions can be broken down and/or navigated so that climate change and sustainability challenges can be more appropriately addressed. This study explored, for the first time in Canada, champion leadership approaches by interviewing champions in the Canadian water sector, with a focus on behavioural attributes, strategies and contextual factors. The findings revealed the significance of both formal and informal relationships, passion in communication, respectful and humble networking and work relations alongside necessary risk taking as key behavioural strategies for Canadian water champions. It also exposed the need to understand contextual realities of mandate gaps, control and secrecy at the federal level versus the more open and responsive culture at the municipal level. While the context can inhibit change, it does not necessarily inhibit it if the champion is well equipped to understand the institution and the strategies that can influence it. Such strategies include the creation of windows of opportunities and the use of media such as journalists, for risk-taking change efforts that do not have to be socially and professionally threatening. Water professionals who have a better understanding of the champion experience in Canada may be in a better position to contribute to a more effective implementation of sustainable WRM in Canada.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".