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Record W7004885017

Otra Historia de la Psicología: Una Tríada de Mujeres

2004· article· en· W7004885017 on OpenAlexaboutno aff

Bibliographic record

VenueHispana · 2004
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsRelevance (law)Sociocultural evolutionPower (physics)Point (geometry)Work (physics)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

The history of psychology, subspeciality that has increased in relevance includes critical historiographic positions that point to be the notorious absence of women�s contributions in the discipline�s reconstruction, making power and gender bias evident in dominant discourse. Partial results of a mayor research rescue the contribution of three women whose works merits a more explicit and potent recognition effort from the one received until now. Biographical aspects are summarized in connection with the work and scientific production of Mary Whiton Calkins (1883-1930), pioneer of the last century; the Swiss Bärbel Inhelder, whose career evolved together with Jean Piaget; and the Canadian Joan Mowat Erikson (emigree to the USA), whose intellectual production appears concealed within her husband�s. Specific aspects of each trajectory are highlighted, confirming the presence of sociocultural factors that rended possible gender discrimination such as the minimization of their theoretical and experimental contributions or their elimination from history.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.010
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.009
GPT teacher head0.273
Teacher spread0.264 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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