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Record W2618702555 · doi:10.3138/jcfs.45.3.351

Parental Involvement and Children’s Educational Performance: A Comparison of Filipino and U.S. Parents

2014· article· en· W2618702555 on OpenAlexvenueno aff
Sampson Lee Blair

Bibliographic record

VenueJournal of Comparative Family Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsDevelopmental psychologyPsychologySample (material)Developing countryEconomic growthEconomics

Abstract

fetched live from OpenAlex

Researchers have long noted that parental involvement can substantially influence children’s academic performance. There is a paucity of research which has focused on this relationship in developing nations. Using data from two surveys of parents, one sample from the Philippines, and one sample from the United States, this study examines the nature of parental involvement, and how it affects the school success of elementary students. Among American parents, direct involvement (e.g., helping with homework) yields positive benefits for children’s grade performance. Among Filipino parents, indirect forms of involvement (e.g., volunteering at their children’s schools) are associated with higher grade performance. Overall, Filipino parents are shown to be more active in their children’s school activities. The influence of parental involvement upon children’s performance in school is shown to vary substantially between the two countries, depending upon the type of parental involvement and household characteristics. Household income, in particular, yields distinctly different effects upon Filipino and U.S. children’s grade performance. The results are discussed within a social capital paradigm.

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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.119
GPT teacher head0.423
Teacher spread0.304 · 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

Citations42
Published2014
Admission routes1
Has abstractyes

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