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Record W6910019560 · doi:10.3886/icpsr38424.v1

Change and Continuity in Midlife: A 10-Year Panel Study of Values, Leisure, Life Structure, and Life Events, United States and Canada, 1987-1996

2022· dataset· en· W6910019560 on OpenAlexaboutno aff

Bibliographic record

VenueICPSR Data Holdings · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWorld War IILife course approachSample (material)PerceptionAssociation (psychology)Life spanFirst world war

Abstract

fetched live from OpenAlex

This study was a 10-year panel study of middle-aged men and women. Through yearly surveys it examined change and continuity of individuals' values, perceptions of leisure, and life structure and the association of these perceptions with life experiences. Data collection occurred from 1987 through 1996 with an initial sample size of 84 middle-aged adults, primarily of Euro-American descent. Respondents represented three different generations within the broad span of years considered part of middle age: those born shortly before or during the Great Depression and in the later years of middle age (aged 47 to 60) at the start of the study, those born shortly before or during World War II; and those born in the early years of the post-World War II baby boom. Twenty-two of the participants were in committed relationships with another person in the study, and 6 of these 11 relationships involved same-sex partnerships. The most extensive analyses and methodological details are in Carpenter and Stockard (2020). A decade of change and continuity in midlife. Newcastle upon Tyne: Cambridge Scholars Publishing.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.014
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.011
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.079
GPT teacher head0.287
Teacher spread0.209 · 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
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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Same venueICPSR Data HoldingsFrench-language works237,207