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Record W3092517451 · doi:10.3233/wor-203290

Teaching emotional and social competencies: Efficacy of a work readiness program designed for vulnerable youth

2020· article· en· W3092517451 on OpenAlexaff
A. Geoffrey Crane, Michelle L. Cormier, Robyn N. Taylor, James D. A. Parker

Bibliographic record

VenueWork · 2020
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsTrent University
Fundersnot available
KeywordsPsychologyFeelingIntervention (counseling)Emotional intelligenceContext (archaeology)Social skillsInterpersonal communicationClinical psychologyAlexithymiaDevelopmental psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: As emotional and social competency training proliferates within a work readiness context, concerns remain regarding their efficacy. Data on these programs tends to be scarce and outcome objectives are often poorly defined. OBJECTIVE: Authors developed and tested a work readiness emotional and social competency program specifically designed for at-risk young adults, tailored with best practices in mind. METHOD: 84 clients of a community organization that provides employment support to young adults with disabilities (48 men and 36 women) with a mean age of 28.17 years (SD = 11.64) completed measures of emotional intelligence and alexithymia on either side of the 4-week intervention. RESULTS: Men's interpersonal scores and women's adaptability scores showed significant improvement across the intervention. In addition, women's scores in both identifying and describing feelings improved significantly, as did men's scores in describing feelings. CONCLUSIONS: Within the context of work readiness, participants in an intervention to improve emotional and social competencies can see key improvements to competencies linked to occupational attainment.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.101
GPT teacher head0.354
Teacher spread0.253 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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