Food discourses in Cape Breton: Community, economy, and ecological food practices
Bibliographic record
Abstract
This project investigates ecological food practices on Cape Breton Island as legacies of traditional lifestyles and responses to the acceleration of global capitalism. I examine the multifarious discourses that frame ecological food practices such as organic gardening and farmers’ markets in this region. People have many reasons for producing and consuming ecologically. For some, interest in local, organic food arises from health concerns; for others, involvement constitutes active resistance to environmental degradation or corporate control. These varying perspectives give rise to, and are reflected in, divergent discourses that shape people’s values and identities. I explore possibilities and constraints, including economic benefits, social connections, and healthy lifestyles; as well as time and energy demands, modest financial compensation, and environmental factors. The importance of sustainable food practices raises important questions: Who performs this labour and how is it financially compensated? How are products distributed and shared? What kinds of support would make ecological practices more feasible on a broader scale? To address these questions and contextualize my investigations, I interview farmers, consumers, restaurateurs, and policy makers, and analyze archival and policy documents. I situate my observations within broader circumstances to link local initiatives with global developments and illuminate possibilities for enacting change and collaboratively developing sustainable food practices (Starr 2014).
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".