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Record W2187124305 · doi:10.1080/15283488.2015.1089507

The Role of Identity Horizons in Education-to-Work Transitions: A Cross-Cultural Validation Study in Japan and the United States

2015· article· en· W2187124305 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIdentity · 2015
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of WaterlooWestern University
Fundersnot available
KeywordsConfirmatory factor analysisNew horizonsPsychologyConstruct (python library)Identity (music)Exploratory factor analysisScale (ratio)Construct validitySocial psychologyMetric (unit)PsychometricsStructural equation modelingDevelopmental psychologyStatisticsMathematicsGeographyComputer science

Abstract

fetched live from OpenAlex

This article reports on the development and construct validation of the Identity Horizons Scales, an instrument based on the identity horizons model. Participants were postsecondary students aged 18–24 years from Japan (N = 505) and the United States (N = 546). Following exploratory factor analysis and confirmatory factor analysis, a three-factor scale had adequate configural, metric, and partial scalar invariance. Evidence for construct validity was also found. Cross-cultural validity assessments suggest that the new measure can be used in both cultural contexts, and for men and women in both contexts, but that the Japanese configuration of identity horizons is more nuanced than the U.S. pattern. Implications, limitations, and future directions for research using the Identity Horizons Scales in different cultural settings are discussed.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.386
Teacher spread0.357 · 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