MétaCan
Menu
Back to cohort
Record W2184617477

The effects of self-processes and social capital on the educational outcomes of high school students

2003· dissertation· en· W2184617477 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2003
Typedissertation
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsSocial capitalPsychologyMathematics educationDevelopmental psychologyPedagogySociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

This study seeks to offer a meaningful statement about the relative importance of self-processes and activated social capital in the process that links high school students and educational outcomes. The conceptual model for the study draws on the large and diverse body of research that aims to understand the process and effects of the interaction of the person and his or her environment. It is hypothesized that adaptive self-processes and social capital are positively related to school engagement, educational aspirations, and actual performance in school; and, that these factors mediate the effects of family background and other potential social capital on educational outcomes. The data for this study were obtained from a sample of N=1,176 in grades 9-12 from three school divisions in Virginia. Students completed the School Relationships and Experiences Survey (SRES), an instrument designed for this study. The study uses structural equation modeling (SEM) to model the relationships between the variables of interest. Data were analyzed using LISREL 8.3 (Jöreskog & Sörbom, 1993). The covariance structure models tested include both single-indicator and multiple-indicator constructs. The analysis follows the two-step procedure suggested by Anderson and Gerbing (1988). First, a measurement model was tested using confirmatory factor analysis to develop a model with acceptable fit to the data. In step two, the theoretical model of interest was specified as an a priori model. This theoretical model was then tested and revised until a theoretically meaningful and statistically acceptable model was found. In conclusion, the results of the analyses are discussed, and possible explanations for the results are proposed. Directions for future research are outlined, including the need for cross-validation of this model on additional samples of high school students. Social capital has previously been conceptualized primarily as family resources and parent-child relationships. This study provides promising initial evidence that activated social capital (education-related support received by adolescents from the broader social network) has stronger and more meaningful effects on academic engagement and other educational outcomes than the more passive indicators of social capital used in previous research. This work was supported by a doctoral fellowship from the Social Sciences and Humanities Research Council of Canada (SSHRC) and a grant from the ASPIRES program at Virginia Tech.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.294
Teacher spread0.287 · 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