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Record W2758767327 · doi:10.1111/jopy.12353

Associations of attachment orientation with early generative concern across adolescence

2017· article· en· W2758767327 on OpenAlexafffund
Heather L. Lawford, Anna‐Beth Doyle, Dorothy Markiewicz

Bibliographic record

VenueJournal of Personality · 2017
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsBrock UniversityBishop's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGenerativityPsychologyClosenessDevelopmental psychologyErikson's stages of psychosocial developmentPsychosocialAttachment theoryAdult developmentTransactional analysisAnxietySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: Researchers have begun to find evidence that generativity, defined as concern for future generations as a legacy of the self, has relevance prior to midlife. Examination of predictors of generativity in adolescence contributes to an overall model of positive development in youth. Bowlby's theory of attachment, a well-established framework for understanding close relationships, was applied in this study of how adolescents' approach to close relationships predicts early generativity. METHOD: = 15) completed self-report measures of attachment (anxiety and avoidance) and generativity across a 4-year period. Additionally, a subsample of 73 adolescents completed the Adult Attachment Interview (AAI). RESULTS: Results indicate a transactional relationship whereby self-reported avoidance of closeness and generativity were negatively related across time. AAI dismissing attachment was negatively associated with generativity only for female participants. CONCLUSION: These findings support Erikson's original psychosocial theory highlighting the importance of intimate relationships in developing the capacity to care for future generations.

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 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)0.001
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 score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.098
GPT teacher head0.439
Teacher spread0.341 · 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 teacher head, 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

Citations12
Published2017
Admission routes2
Has abstractyes

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