Avoiding an anticipated social-ecological trap in biodiversity conservation on private lands in Quebec province, Canada
Why this work is in the frame
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Bibliographic record
Abstract
During the last decades, global conservation efforts shifted from a mostly top-down process to preserve ecosystems on public lands to diverse governance processes involving stakeholders and conservation on private lands. Following these trends, the Quebec government (Canada) also engaged in biodiversity conservation efforts on private lands to reduce perceived environmental injustice arising from imposed conservation measures. However, citizen involvement has remained mainly a communicative or consultative participation, lacking effective citizen contribution. Based on our work with conservation actors in Quebec, we present a double-loop social-ecological (SE) trap that we foresee for conservation measures implemented on private lands used for production purposes. We used the SE-AS framework to illustrate the SE trap which suggests that including merely consultative landowner participation in the design of conservation measures might lead to a misunderstanding of both the production ecosystems dynamics and the interests and concerns of landowners. This misunderstanding could result in a mismatch between conservation measures and production ecosystems, lower production, lost opportunities and disengagement from conservation measures on the part of landowners. Such a context could, in turn, induce decision-makers to perceive participative efforts as failures, resulting in the re-establishment of top-down decision-making. Ultimately, landowners might react to these imposed conservation measures just as they did in the past, perceiving them as environmental injustice and refusing to comply. We conclude that effective landowner participation through active involvement in cooperative planning and co-management, supported by a systemic perspective, would allow better integration of the knowledge and concerns of landowners, and ultimately, better integration of conservation efforts with production activities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it