Esperando bajo un árbol, vestida de gaucha. Ana Beker y su viaje a caballo por América
Bibliographic record
Abstract
In 1950 and backed by Eva Perón, a young female Argentinian rider set out on a solo horse trip from Buenos Aires to Ottawa. However, the book resulting from the journey, The Courage to Ride [Amazona de las Américas], wasn´t published until 1957, once Peronism was proscribed and all mention of its leader was banned in public discourse. Beyond many constraints of femininity and inspired by the desire to overcome the prevailing male chauvinism regarding women´s accomplishments in every area, but especially in those related to physical strain and mental endurance, Beker’s journey also implied a good deal of social and narrative skills that granted her access to dozens of American officials and people in general along the way. In the current article, we dwell not only on some of Beker’s explicit accounts of the different highlights of her unparalleled deed, but we also undertake the task of considering the mechanisms by which the author creates her narrative voice. The article also includes the raising of a wide set of questions as to what sort of social network could have allowed Beker to better meet her goals.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".