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Record W2465218219 · doi:10.1037/a0039886

Naomi Weisstein (1939–2015).

2016· article· de· W2465218219 on OpenAlexaff
Laura C. Ball, Alexandra Rutherford

Bibliographic record

VenueAmerican Psychologist · 2016
Typearticle
Languagede
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsYork UniversityWaypoint Centre for Mental Health Care
Fundersnot available
KeywordsFeminismContext (archaeology)PoliticsSociologyEssentialismGender studiesPsychoanalysisSocial sciencePsychologyLawPolitical scienceHistory

Abstract

fetched live from OpenAlex

This article memorializes Naomi Weisstein, who passed away on March 26, 2015 at Mount Sinai Hospital in New York City. In Chicago, Illinois, Weisstein began what would become a defining feature of her career and legacy-combining feminist political activism with both her academic and personal life pursuits. By the time she began her first faculty position at Loyola University in Chicago in 1966, Weisstein was an outspoken feminist. In 1968, she published her now classic article "Kirche, Kuche, Kinder as Scientific Law: Psychology Constructs the Female" (PCF; New England Free Press), wherein she criticized the field of psychology for failing to understand women because of its overreliance on essentialism and biologically based theories, while ignoring the importance of social context. Her critique laid the groundwork for others to explore the social construction of gender, and for second-wave feminism to take hold within the discipline of psychology. Despite all of her varied contributions, it is PCF that helped to define Weisstein's legacy in psychology. The article has been cited as a defining moment in second-wave feminism, and several psychologists have remembered the piece as a catalyst for their feminist awakening.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0370.017

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 head0.024
GPT teacher head0.378
Teacher spread0.354 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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