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Record W2290486434 · doi:10.1080/1550428x.2015.1028694

Parent Support Matters for the Educational Success of Sexual Minorities

2015· article· en· W2290486434 on OpenAlexaff
Ryan J. Watson, Melissa A. Barnett, Stephen T. Russell

Bibliographic record

VenueJournal of GLBT Family Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSexual minorityPsychologyAssociation (psychology)Developmental psychologySexual orientationFamily supportClinical psychologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Recent research has documented disparities in academic experiences and achievement for sexual minorities. Two important correlates of well-being for all youths are their relationships with family members and experiences at schools. We used nationally representative data to investigate whether the association between perceived maternal and parental support (defined as warm, firm, and accepting parental bonds) and educational outcomes differs for sexual minority compared to heterosexual youths. The sample consisted of 12,064 participants. Results indicated that parent support was significantly associated with grade point average (GPA), school belonging, and school troubles for both sexual minority and heterosexual participants, but the magnitudes differed. In addition, we found a two-way interaction between sexual minority status and parental support in association with school belonging, indicating that for sexual minority youths, low parental support was associated with particularly low levels of school belonging compared to heterosexual youths. This project highlights the importance of family support as a contributor for healthy 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.295

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 head0.230
GPT teacher head0.476
Teacher spread0.246 · 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

Citations22
Published2015
Admission routes1
Has abstractyes

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