“We are stewards and caretakers of the land, not exploiters of resources”: A qualitative study exploring Canadian farmers’ perceptions of environmental sustainability in agriculture
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
Environmental sustainability in agriculture is a key component of discussions to address the current climate crisis; unfortunately, many people (including researchers) presume that only certain types of agriculture (e.g., organic, local) are environmentally sustainable. Non-farmers also fail to acknowledge that many farm practices, including grazing animals, mitigate climate change. Farmers' perceptions about environmental sustainability are important because their livelihoods, and those of future generations, depend on their commitment to sustainable environmental practices. The purpose of this qualitative research was to understand Canadian farmers' perceptions of environmental sustainability, how they are implementing strategies that contribute to sustainable food production, and the challenges they face. Fifty-two farmers, representing 48 farms and over 1000 years of farming experience, participated in comprehensive in-depth interviews. Four farms were in British Columbia; 13 in the Prairies; 26 in Central Canada; and five in Eastern Canada. A wide variety of farm types (e.g., fruit/vegetables, livestock, grains) and sizes (2 to 6500 acres) were included in the study. Farmers' perceptions of environmental sustainability coalesced into four main themes: (1) definitions of sustainability and environmental sustainability, (2) current practices, (3) farming as an identity, and (4) challenges. Many participants explained that they already use sustainable practices and technology, contrary to prevailing opinion that entire food systems need to be transformed to be sustainable. As new agricultural policies and educational curricula are developed, information provided to students, policy makers, and the public must be accurate, balanced, evidence-based, and respectfully consider all perspectives, especially those of farmers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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