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Record W4400011963 · doi:10.1007/s10578-024-01727-w

Depression Literacy and Self-Reported Help-Giving Behaviour in Adolescents in Ireland

2024· article· en· W4400011963 on OpenAlexaff
Sadhbh J. Byrne, Lorraine Swords, Elizabeth Nixon

Bibliographic record

VenueChild Psychiatry & Human Development · 2024
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsTrinity College
FundersIrish Research CouncilNational University of Ireland, MaynoothIrish Research eLibrary
KeywordsHelpfulnessVignetteEmpathyPsychologyDepression (economics)LiteracyPsychological interventionClinical psychologyDevelopmental psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

= 14.9 years, 51.8% male) in Ireland. In response to a vignette depicting a character displaying symptoms of depression, 46.7% labelled these symptoms 'depression', with increasing age and empathy associated with increased likelihood of labelling as such. Almost all (92.1%) believed the character needed help, but the perceived helpfulness of potential responses varied. Over one-third (38.2%) indicated they knew someone who had displayed similar symptoms in the past year, with 85.2% of these reporting having helped this person. Reported help-giving responses included comforting the person, encouraging professional help-seeking, and informing an adult. The findings suggest adolescent DL can be best supported by developmentally-sensitive interventions that encourage empathy and the importance of engaging adults' assistance.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.288
Teacher spread0.278 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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