Bibliographic record
Abstract
Welcome to the inaugural issue of Canadian Food Studies/La Revue canadienne des études sur l’alimentation, the open-access, online journal of the Canadian Association for Food Studies/l’Association canadienne des études sur l’alimentation (CAFS/ACÉA). Our journal arrives on the scene in the context of a well-established organization that has, for the past decade, promoted multidisciplinary interaction, debate, and research about food in Canada. The prolific and diverse nature of this food-related research was hailed earlier by Power & Koç (2008) in a guest-edited collection of articles by Canadian scholars to celebrate the founding of CAFS. Indeed, every year since 2006, the CAFS meeting at the Congress of the Humanities and Social Sciences has served as a communal table, laden with a smorgasbord of collaborative and transformational ideas. The feast continues, not just among academic faculty and students, but shared with health professionals, artists, teachers, farmers, fishers, environmentalists, chefs, and colleagues from NGOs, food networks and policy councils. Collectively, these actors form the voices and visuals of the Canadian foodscape. The purpose of our journal is to offer a professional, academic forum for the astonishing breadth and depth of material that they can produce.
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 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 | 0.001 | 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".