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Record W2034114853 · doi:10.1017/s0007087411000318

The social nature of the mother's tie to her child: John Bowlby's theory of attachment in post-war America

2011· article· en· W2034114853 on OpenAlexaff
Marga Vicedo

Bibliographic record

VenueThe British Journal for the History of Science · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsUniversity of VictoriaUniversity of Toronto
Fundersnot available
KeywordsAttachment theorySociologyPsychologyPsychoanalysisDevelopmental psychologyGender studies

Abstract

fetched live from OpenAlex

This paper examines the development of British psychiatrist and psychoanalyst John Bowlby's views and their scientific and social reception in the United States during the 1950s. In a 1951 report for the World Health Organization Bowlby contended that the mother is the child's psychic organizer, as observational studies of children worldwide showed that absence of mother love had disastrous consequences for children's emotional health. By the end of the decade Bowlby had moved from observational studies of children in hospitals to animal research in order to support his thesis that mother love is a biological need. I examine the development of Bowlby's views and their scientific and social reception in the United States during the 1950s, a central period in the evolution of his views and in debates about the social implications of his work. I argue that Bowlby's view that mother love was a biological need for children influenced discussions about the desirability of mothers working outside the home during the early Cold War. By claiming that the future of a child's mind is determined by her mother's heart, Bowlby's argument exerted an unusually strong emotional demand on mothers and had powerful implications for the moral valuation of maternal care and love.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.037
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.268
Teacher spread0.220 · 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.

Study designQualitative
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

Citations56
Published2011
Admission routes1
Has abstractyes

Explore more

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