We Have a Responsibility: Alternative Land Use Services Farmers and Environmental Stewardship
Bibliographic record
Abstract
This thesis is an exploration into the environmental stewardship of farmer participants of the Alternative Land Use Services [ALUS] program in Norfolk County, Ontario. ALUS provides opportunities for farmers to reduce their environmental footprint by providing financial incentives and assistance to reserve agricultural land from production. Utilizing qualitative descriptive method, this study conducted in-depth, semi-structured interviews in an attempt to describe the perspectives on environmental stewardship of these farmers, and how these perspectives might have evolved through involvement in ALUS. The study found that the participants have significant feelings of responsibility to protect the environment and do struggle to balance the needs of the environment when it is conflicting with the needs of the farm or the family. However, participation in ALUS is assisting to alter the perspective that environmental stewardship activities can be irreparably in conflict with other needs, amongst several other reported family, farm and community benefits.
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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 | 0.000 | 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 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".