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Record W2726918764 · doi:10.5539/jedp.v7n2p59

Testing the Impact of Counseling over Time on Non-Urgent Undergraduate Life Satisfaction

2017· article· en· W2726918764 on OpenAlexvenueno aff
Gary Blau, John DiMino, Iris Abreu, Kayla LeLeux-LaBarge

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthLife satisfactionPsychologyDistressPsychological distressSample (material)Student lifeClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Data for non-urgent undergraduate clients at a University Counseling Center (UCC) were collected using on-line surveys over three time-periods. Despite the expected diminishing number of participants over time, within-time correlations generally showed that level of mental distress and mental health concerns were negatively related to life satisfaction, while self-esteem was positively related. Using a smaller sample of matched-over-three time-periods clients, levels of mental distress and mental health concerns significantly declined, while life satisfaction significantly increased. The strongest changes for this complete data sample were found from Time 1 to Time 3 for reduced mental health concerns and increased life satisfaction. These findings reinforce that additional counseling sessions for undergraduates may be beneficial, and that spreading these sessions out may also be useful. Scientifically demonstrating to higher-level University administration that a UCC can help undergraduates in distress should ideally help the UCC to increase its allocation of university-based resources.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.390
Teacher spread0.337 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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