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Record W2027079146 · doi:10.1177/0272431612458036

Racial-Ethnic Identity and Adjustment in Canadian Indigenous Adolescents

2012· article· en· W2027079146 on OpenAlexaffabout
Barbara M. Gfellner, Helen D. Armstrong

Bibliographic record

VenueThe Journal of Early Adolescence · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsBrandon University
Fundersnot available
KeywordsIndigenousEthnic groupMainstreamIdentity (music)PsychologyCultural identityGender studiesSociologySocial psychologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

This study supported associations between three theoretically driven conceptualizations of racial and ethnic identity (REI; Multigroup Ethnic Identity Measure; Multidimensional Racial Identity Measure; Bicultural Identity Measure) and with adaptive functioning among Canadian indigenous adolescents in middle school to high school. Age differences were found across the ethnic identity statuses but not for the continuous REI measures. Overall, adolescents placed predominantly at the traditional (identified with indigenous culture) and marginal (neither identified with indigenous nor mainstream culture) ethnic identity statuses with fewer marginal and more bicultural (identified with both indigenous and mainstream cultures) categorized adolescents across the age-range. Traditional students followed by those classified as bicultural evidenced greater REI and adaptive functioning in comparison with marginal and mainstream students. Predicted relationships between REI and adjustment among Canadian First Nation adolescents were supported; findings suggest potential benefits of First Nation communities for REI development.

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)0.005
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 score0.319
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.374
Teacher spread0.317 · 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
Published2012
Admission routes2
Has abstractyes

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