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Record W7019024342

Esperando bajo un árbol, vestida de gaucha. Ana Beker y su viaje a caballo por América

2021· article· en· W7019024342 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArgentine historical studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeChauvinismFemininitySet (abstract data type)CourageRaising (metalworking)Stereotype (UML)
DOInot available

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.262
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it