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Record W2156113700 · doi:10.5539/elt.v5n5p45

Exploring the Relationship between Social Capitals and English Language Achievement within a Specific Grade and Context

2012· article· en· W2156113700 on OpenAlexvenueno aff
Ebrahim Khodadady, Reza Pishghadam, Farnaz Farokh Alaee

Bibliographic record

VenueEnglish Language Teaching · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyReligiosityDevelopmental psychologyTest (biology)Schema (genetic algorithms)Context (archaeology)CorrelationScale (ratio)Social psychology

Abstract

fetched live from OpenAlex

An achievement test based on schema theory (S-Test) was developed on the passages comprising the English textbook taught at grade three in state high schools in Iran and administered concurrently with a validated and reliable Social Capital Scale (SCS) to four hundred seventy seven male and female participants. The Z-scores obtained on the S-Test were utilized to divide the participants into high, middle and low achievers. Among the ten factors underlying the SCS, i.e., Self Volunteering, Receptive Relatives, Maternal Supervision, Parental Monitoring, Teacher Consultation, Parental Expectation, Parental Rapport, Family Religiosity, Helpful Others and Parent Availability, high achievers’ Family Religiosity correlated significantly with their S-Test whereas a significant correlation was found between Parental Monitoring and S-Test for middle achievers, indicating that social capitals of these two ability groups function differently. The results also showed while middle achievers’ scores on the semantic subtest of S-Test related significantly and positively to Parental Monitoring, Teacher Consultation and Family Religiosity, they correlated significantly but negatively with Parental Expectation and Helpful Others on the syntactic subtest. The semantic subtest also revealed the highest significant and negative relationship with low achievers’ Teacher Consultation. The findings are discussed and suggestions are made for future research.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.155
GPT teacher head0.349
Teacher spread0.195 · 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.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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