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Record W2069035680 · doi:10.1037/a0015207

Processes and content of narrative identity development in adolescence: Gender and well-being.

2009· article· en· W2069035680 on OpenAlexafffund
Kate C. McLean, Andrea Breen

Bibliographic record

VenueDevelopmental Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyNarrativeDevelopmental psychologyEmotionalityMeaning (existential)Identity (music)Content (measure theory)Narrative identityNarrative inquirySocial psychologyIdentity formationSelf-esteemPersonality developmentSelf-conceptPersonality

Abstract

fetched live from OpenAlex

The present study examined narrative identity in adolescence (14-18 years) in terms of narrative content and processes of identity development. Age- and gender-related differences in narrative patterns in turning point memories and gender differences in the content and functions for sharing those memories were examined, as was the relationship between narrative patterns and self-esteem. The narrative patterns focused on were meaning-making (learning from past events) and emotionality of the narratives, specified as overall positive emotional tone and redemptive sequencing. Results showed an age-related increase in meaning-making but no gender differences in the degree of meaning-making. Results further showed that gender predicted self-esteem and that boys evidenced higher self-esteem. Emotionality also predicted self-esteem; this was especially true for redemption and for boys. In terms of telling functions, girls endorsed more relational reasons for telling memories than did boys. Results are discussed in terms of potential gendered and nongendered pathways for identity development in adolescence.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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

Citations255
Published2009
Admission routes2
Has abstractyes

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