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Record W1997809915 · doi:10.1037/0022-0167.54.1.62

Adjustment trajectories in college science programs: Perceptions of qualities of parents' and college teachers' relationships.

2007· article· en· W1997809915 on OpenAlexaff
Stéphane Duchesne, Catherine F. Ratelle, Simon Larose, Frédéric Guay

Bibliographic record

VenueJournal of Counseling Psychology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychologyPerceptionMathematics educationSocial psychologyDevelopmental psychologyMedical educationApplied psychology

Abstract

fetched live from OpenAlex

This longitudinal study had 2 goals. The 1st goal was to describe trajectories of academic and emotional adjustment in college science programs. The 2nd goal was to determine whether these trajectories differed as a function of students' self-reports of the quality of their relationships with parents and teachers. The sample consisted of 498 students recruited during their last year of high school. Assessment of adjustment continued until the end of the 2nd year of college. For a number of students, the authors observed a significant decline in both academic and emotional adjustment. Moreover, it was possible to identify an at-risk profile characterized by poor academic and emotional adjustment. In examining the students' perceptions of their family and school environments, the authors found that poorly and well-adjusted students differed from each other on the basis of parental but not teachers' relationship quality. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.452
Teacher spread0.388 · 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 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

Citations74
Published2007
Admission routes1
Has abstractyes

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