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Record W2606742165 · doi:10.5430/ijhe.v6n2p225

A Longitudinal Examination of Parenting Influences and School Engagement among African American and Latino Male Youth

2017· article· en· W2606742165 on OpenAlexvenueno aff
Darnell Leatherwood, Dexter R. Voisin

Bibliographic record

VenueInternational Journal of Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyEducational attainmentDevelopmental psychologyAssociation (psychology)Academic achievementAfrican americanLongitudinal studyWhite (mutation)Social psychologySociologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Some racial minority males lag behind their White counterparts with regards to school engagement. However, few studies have examined this association longitudinally nor explored whether such a relationship might be mediated by youths’ own educational aspirations. Therefore, both considerations are addressed in this study. Among a sample of 226 African American and Latino male youth and their caregivers, measures were assessed for parenting influences (i.e., monitoring, discipline, educational, economic and life aspirations), youth educational aspirations, and school engagement (i.e., motivation and attainment). Parents’ education and life aspirations for their sons and the youths’ educational attainment were positively and significantly related. Moreover, the relationship between parents’ educational and life aspirations and academic engagement (i.e., school motivation and educational attainment) were mediated by youths’ educational aspirations. Implications for promoting the school engagement of these youth are discussed based on these findings.

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)0.002
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.075
GPT teacher head0.396
Teacher spread0.321 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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