Local impacts of federal forest policy changes on Canadian model forests: An institutional capacity perspective
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
Abstract Although research in multiparty environmental governance has examined how local actors work together, few have focused how changes in higher order government policy directives affect the capacity of local organizations to implement associated management activities over time. We examine changes in three Canadian Model Forests as federal policy objectives shifted from “sustainable forest management” to “sustaining communities.” Specially, we adopt the concept of institutional capacity from planning theory to assess changes in knowledge resources, relational resources, and mobilization potential of Model Forest sites during the shift from the Model Forest Programme to the Forest Communities Programme. Analysis of key documents shows that despite being developed as a top‐down programme, individual sites exhibited an array of responses by drawing on local actors with new skills, political acumen, and relational resources to generate local opportunities. Although overall federal support decreased, Model Forest sites fostered collaborations with new sectors, enabling them to link ideas, resources, and influence in new ways and respond to changes they observed in the local context. Local networks created under a federal programme were able to move forward, shift their organizational identity, change visions, and initiate alternative projects after the programme stopped.
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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 | 0.001 |
| 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 it