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Record W2079704296 · doi:10.1037//0882-7974.16.3.400

Developmental regulation before and after a developmental deadline: The sample case of "biological clock" for childbearing.

2001· article· en· W2079704296 on OpenAlexaff
Jutta Heckhausen, Carsten Wrosch, William Fleeson

Bibliographic record

VenuePsychology and Aging · 2001
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsDisengagement theoryPsychologyDevelopmental psychologySelf-controlLife spanAction (physics)Control (management)Gerontology

Abstract

fetched live from OpenAlex

This quasi-experimental research investigates developmental regulation around a critical life-span transition, the "biological clock" for childbearing. The action-phase model of developmental regulation proposes contrasting control orientations in individuals approaching versus those having passed a developmental deadline. Individuals in an urgency phase close to the deadline should be invested in goal pursuit, whereas those who have passed the deadline without attaining the goal should focus on goal disengagement and self-protection. In 2 studies, women at different ages and with or without children were compared with regard to various indicators of primary and secondary control striving for goal attainment versus goal disengagement and self-protection. Findings support the action-phase model of developmental regulation. Patterns of control striving congruent with the participants' status as pre- versus postdeadline were associated with superior psychological well-being.

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)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.382
Teacher spread0.326 · 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

Citations206
Published2001
Admission routes1
Has abstractyes

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