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Record W2103296079 · doi:10.1080/03069881003600991

Helper therapy in an online suicide prevention community

2010· article· en· W2103296079 on OpenAlexaff
Elaine Greidanus, Robin D. Everall

Bibliographic record

VenueBritish Journal of Guidance and Counselling · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSeekersPsychologyHelp-seekingFeelingIntervention (counseling)The InternetOnline communitySocial supportMedical educationApplied psychologyMental healthSocial psychologyMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

ABSTRACT Individuals who feel comfortable using Internet-based communication often seek help online when they are feeling distressed. This study examines an online community formed to provide support for distressed adolescents. Content analysis revealed themes in a series of online postings from youth who were experiencing suicidal thoughts. Youth help-seekers wrote about their purposes for seeking help. Trained crisis-intervention moderators provided social support and referrals to offline services. Over time, help-seekers began to provide support for other help-seekers, developing a community characterised by reciprocal help-seeking and help-providing. Adolescents in this study experienced the online community as an anonymous place to express their reasons for seeking help, receive support and engage in helping to support others. Keywords: onlinehelp-seekingsocial supporthelper therapyInternet Acknowledgements This research was supported in part by a grant from the Social Sciences and Humanities Research Council.

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)0.000
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 score0.913
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.056
GPT teacher head0.331
Teacher spread0.275 · 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

Citations76
Published2010
Admission routes1
Has abstractyes

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