Mixing Public and Private Agri-Environment Schemes: Effects on Farmers Participation in Quebec, Canada
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
<p class="xmsonormal">Incentive-based mechanisms, such as payments for ecosystem services (PES) are increasingly being employed to encourage adoption of biodiversity conservation practices in agriculture. Farmers’ participation in a PES depends – amongst other factors – on their interactions with previous programs and schemes. This research analyses how the institutional characteristics and interactions of incentive-based mechanisms shape the type of farmers’ participation and the achievement of desired socio-ecological outcomes. This research focusses on the institutional frameworks of two programs in the Province of Quebec, Canada: the ‘Prime-Vert’ Program (public agri-environment scheme) and the ‘Alternative Land Use Services’ (ALUS) initiative (a privately-funded “PES” scheme). The institutional prescriptions of these two programs were examined and compared through the lenses of the Institutional Analysis and Development framework. We reveal the impact of the institutional framework on farmers’ participation by assessing the degree of farmers’ engagement in the implementation and management of schemes. Our results showed a strong dependence of the private PES on the public scheme, rendering both programs ultimately managed under the remit of the provincial government. While the complementarity of both programs diversifies sources of funding for farmers, the presence of rigid rules governing these incentives tend to treat farmers as passive beneficiaries of a network of centralized subsidies which they have little control over. This compromises farmers’ autonomy as the rigidity of rules impedes any attempt to achieve active participation in the design and implementation of agri-environmental practices.
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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 | 0.000 |
| 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