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Impact of a College Student Academic Mentoring Program on Perceived Parental and Teacher Educational Involvement

2012· article· en· W1549856244 on OpenAlexaff
Simon Larose, George M. Tarabulsy, Marylou Harvey, Frédéric Guay, Claire Deschênes, Diane Cyrenne, Odette Garceau

Bibliographic record

VenueJournal of Applied Social Psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsCegep de Sainte FoyUniversité Laval
Fundersnot available
KeywordsPsychologyAllianceIntervention (counseling)Control (management)Academic achievementMedical educationSocial psychologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

This article examines the hypothesis that academic mentoring of college students improves perceived parental and teacher educational involvement. College students were randomly assigned to a 1‐year academic mentoring program (protégés, n = 150) or a control group ( n = 167) and completed questionnaires before, during, and after the intervention. Protégés perceived greater levels of parent and teacher educational involvement than did participants from the control group. However, the impact of the mentoring program on perceived parental involvement was found only among students who reported a secure relationship with their parents. Additional analyses suggest that some of these improvements were related to quality of the working alliance between mentors and protégés and to supportive behaviors exhibited by mentors during the intervention.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.402
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.494
Teacher spread0.403 · 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.

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

Citations9
Published2012
Admission routes1
Has abstractyes

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