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Record W2082104671 · doi:10.1080/02673843.2010.9748046

A Scientific Exploration of Positive Psychology in Adolescence: The Role of Hope as a Buffer against the Influences of Psychosocial Negativities

2010· article· en· W2082104671 on OpenAlexaff
Daniel G. Lagacé‐Séguin, Marc‐Robert L. d’Entremont

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2010
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsOptimismPsychologyPsychosocialLife satisfactionMultilevel modelDevelopmental psychologyWell-beingClinical psychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Interactions between classroom climate, dispositional optimism, and hope were examined in the prediction of emotional well-being in early adolescent students. The present study consisted of 98 students (32 male, 65 female, 1 unknown) in grades six, seven, and eight with a mean age of 12.51 years (SD = .95). Participants completed questionnaires regarding their classroom environment, future expectations, hopeful thinking, depression, and life satisfaction. Hierarchical multiple regression analyses revealed numerous interactions between classroom climate/dispositional optimism and hope in the prediction of depression and life satisfaction. Implications of these interactions are discussed in terms of hope as a psychological strength and its role in promoting emotional well-being in early adolescent students.

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)0.003
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.322
Teacher spread0.306 · 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

Citations31
Published2010
Admission routes1
Has abstractyes

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