Social and Cultural Capital: Underlying Factors and Their Relationship with the School Achievement of Iranian University Students
Bibliographic record
Abstract
This study explored the relationship between social and cultural capital and school achievement by developing, administering and validating a 35-statement questionnaire to 403 undergraduate and graduate students majoring in Teaching English as a foreign language and Persian Language and Literature and correlating their extracted factors with the grade point average of their high school diploma. The application of the Principle Axis Factoring to the participants’ responses and rotating the extracted factors revealed ten latent variables, i.e., literacy, parental consultation, family-school interaction, family support, extracurricular activities, family relationship, parent-school encouragement and facility, cultural activities, peer interaction and religious activities. Between the two logically developed subscales comprising the social and cultural capital questionnaire (SCCQ) only the social capital showed significant relationship with the GPA (.19, p <.001). Similarly, among the ten factors, parent-school encouragement and facility (.33), parental consultation (.22), family relationship (.20), and family support (.18), correlated significantly, i.e., p <.001, with the GPA. The implications of the results are discussed within a foreign/first language context and suggestions are made for future research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".