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Record W2100422629 · doi:10.1177/0956797610397057

Idealizing Parenthood to Rationalize Parental Investments

2011· article· en· W2100422629 on OpenAlexaff
Richard P. Eibach, Steven E. Mock

Bibliographic record

VenuePsychological Science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Although raising children has largely negative effects on parents' emotional well-being, parenthood is often idealized as a uniquely emotionally rewarding role. We tested the hypothesis that belief in myths idealizing parenthood helps parents cope with the dissonance aroused by the high financial cost of raising children. In Study 1, parents endorsed the idealization of parenthood more when only the costs of parenting were made salient than when both the costs of parenting and the long-term benefits of having children were made salient. When dissonant feelings were measured before idealization of parenthood, these feelings mediated the influence of the salient information on idealization of parenthood. In Study 2, participants reported greater enjoyment of the time they spent with their children and intended to spend more leisure time with their children when only parenting costs were made salient than when the long-term benefits of having children were also made salient (or when no costs or benefits of having children were made salient). We discuss the implications of our results for parental-investment theory and for the propagation of myths idealizing parenthood.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.187
GPT teacher head0.427
Teacher spread0.240 · 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 designObservational
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

Citations63
Published2011
Admission routes1
Has abstractyes

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