MétaCan
Menu
Back to cohort
Record W2889228313 · doi:10.5539/ass.v14n9p1

Parenting as an Acculturation Process: The Case of a Group of Indonesian Families

2018· article· en· W2889228313 on OpenAlexvenueno aff
Meilanny Budiarti Santoso, Nurliana Cipta Apsari

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyIndonesianDevelopmental psychologyAcculturationComprehension

Abstract

fetched live from OpenAlex

Understanding role of the mothers in delivering their functions within families is an important factor to the formulation of profile of their children. Three main roles of mothers studied included parenting, learning at home and communicating, emphasizing to parenting only. The research was conducted to 13 mothers and children who are in their first grade of elementary school using in-depth interview and observation techniques. The research found that all informants are housewives, with level education of elementary school, and in their late thirties. The research confirm all of the children in the study are interacting with their mothers. The informats utilize trial-error strategy, and does not have sufficient comprehension in playing their roles. In this study, parenting function is conducted through verbal actions such as giving advices, prohibition, and forcing the children. However, there is also mothers who involve the children without forces, thus bringing awareness of the child to help the mother. Informants are not too actively involve in learning at home and communicating with school is limited to taking the child to school. Children experience psychic issues because of their environment, and academic achievement are below average. These indicated the need of performing competency enhancement for the mothers to help them in delivering their roles.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.054
GPT teacher head0.441
Teacher spread0.387 · 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 designQualitative
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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicEducational Methods and ImpactsFrench-language works237,207