Nancy Alonso’s collection of short stories Cerrado por reparación was the
Bibliographic record
Abstract
recipient of the 2002 Alba de Céspedes Award for women fiction writers granted by the United Nations Fund for the Development of Women (UNIFEM), the Cuban Writers and Artists Union (UNEAC), and Casa de las Américas. The book is titled after the last short story included in the collec-tion. This final story relates the tribulations of Ramón, head of the Departa-mento de Atención a la Población de la Dirección Provincial del Poder Popular de La Habana. The agency’s mission is to receive complaints from the population and channel them to the appropriate State office for resolution. A year into his appointment at the agency, as Ramón is getting ready to sub-mit to an inspection, he reflects on the Department’s many accomplishments. The average time to put through a complaint has decreased from fifteen to eight days, and the margin of error in putting through those complaints reduced from 40 to 30 percent! There is only one glitch, though. The number of citizens who came back to the office to report the same problem more than once had noticeably increased, but Ramón, ever the optimist, saw this as an
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.012 |
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".