Bibliographic record
Abstract
There is no shortage of books, magazines, lifestyle shows, and academic texts that have something to say about what, where, how, and with whom we should eat. In his book The Politics of the Pantry, Michael Mikulak critically engages with this storied food, a genre of literature, film, and new media that attempts to reveal the “truth” behind the veil of food and the hidden worlds of agriculture. He does so in order to take up key issues and ideas related to food, global warming, and the future of the economy that has been examined in popular texts and mainstream media. His book is “an attempt to understand how we got here, where we are going, and how we can get somewhere else.” Throughout the book Mikulak weaves personal stories and anecdotes related to his journey with local food that informs and enlivens his academic theory and analysis, attempting to rupture the literary boundary between prose and academic inquiry. He knits together an optimism about the power of pantry politics with a more reflexive and realistic picture of the major stumbling blocks the alternative food movement often faces.
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".