Bibliographic record
Abstract
Feast is a story about consumption in the new world - primarily from the perspective of a second-generation Canadian for whom the new world means the exciting, and sometimes debaucherous, world of early adulthood, but also from the perspective of his father for whom it means the new country. This project is the culmination of three years of work. Feast began as a novel, turned into a series of short-stories, a long poem, a book of short-poems, a play, and finally into a combination of these things. The work is meant to be both formally and tonally vibrant. Though the different voices are mediated and arranged by a single narrator, there is no clearly discernible authorial presence and, as a result, no easy judgment of the characters and events in the story. Jake's sensual lifestyle is both overindulgent and a source of exuberance and poetic energy; Stanislav's ascetic choices are both desperate and the source of genuine self-recovery. In their various affirmations and denials, the characters in Feast all seek intimacy and happiness while acting within (or against) a culture built on the promise of consumable bliss. This cultural promise is, like everything else in the work, an object of critique, humour, and celebration.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.107 | 0.019 |
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".