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Record W2000017826 · doi:10.1037/a0026219

Can't a mother sing the blues? Postpartum depression and the construction of motherhood in late 20th-century America.

2011· article· en· W2000017826 on OpenAlexaff
Lisa Held, Alexandra Rutherford

Bibliographic record

VenueHistory of Psychology · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicCorporeality, Perception, and Education
Canadian institutionsYork University
Fundersnot available
KeywordsBluesDistressPsychologyDepression (economics)Postpartum depressionPopular cultureGender studiesPopular mediaPsychoanalysisDevelopmental psychologySociologyHistoryPsychotherapistPregnancyMedia studies

Abstract

fetched live from OpenAlex

Popular depictions of 20th-century American motherhood have typically emphasized the joy and fulfillment that a new mother can expect to experience on her child's arrival. But starting in the 1950s, discussions of the "baby blues" began to appear in the popular press. How did articles about the baby blues, and then postpartum depression, challenge these rosy depictions? In this article, we examine portrayals of postpartum distress in popular magazines and advice books during the second half of the 20th century to examine how the unsettling pairing of distress and motherhood was culturally negotiated in these decades. We show that these portrayals revealed a persistent reluctance to situate motherhood itself as the cause of serious emotional distress and a consistent focus on changing mothers to adapt to their role rather than changing the parameters of the role itself. Regardless of whether these messages actually helped or hindered new mothers themselves, we suggest that they reflected the rarely challenged assumption that motherhood and distress should not mix.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.016
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.050
GPT teacher head0.251
Teacher spread0.201 · 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 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

Citations33
Published2011
Admission routes1
Has abstractyes

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