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
How to Clean a Fish describes an extended family stay in Portugal, full of food, adventure, and the search for home. Offered the opportunity to live in Costa da Caparica for an extended period, Esmeralda Cabral jumped at the chance to return to the country of her birth. Together with her Canadian-born husband, children, and Portuguese Water Dog, Maggie, Cabral makes new and nostalgic discoveries—a labyrinth of cobblestone alleys and beautiful painted tiles, a delicious bica and pastel de nata, a classic fado concert, the gentle ribbing of local fishmongers, a damaging high tide—translating words and emotions for her family along the way. Packed with local cuisine and customs, tales of language barriers and bureaucracy, and threaded with that irresistible need to connect with the culture of our birth, How to Clean a Fish is for readers curious about life in Portugal and for anyone who has moved from one place to another and is seeking their own version of home.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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