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Record W3192852593 · doi:10.1177/0020872821996781

Providing virtual suicide prevention groups for people experiencing suicidality: Pivoting service delivery during the COVID-19 pandemic

2021· article· en· W3192852593 on OpenAlexaff
Yvonne Bergmans, Krystal Lee Kellington, Tanya Smith, Amanda Pond, Mikayla Goving, Emily Shelton, Chantelle Sayegh, Dwight Syms, Anya Perivolaris

Bibliographic record

VenueInternational Social Work · 2021
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsCanadian Mental Health AssociationUniversity of Toronto
Fundersnot available
KeywordsPandemicSAFERCoronavirus disease 2019 (COVID-19)Intervention (counseling)Suicide preventionService (business)Medical emergencyPsychology2019-20 coronavirus outbreakMedicineInternet privacyPoison controlComputer securityPsychiatryComputer scienceBusinessVirology

Abstract

fetched live from OpenAlex

Skills for Safer Living is a 20-week group intervention for people with recurrent suicide attempts. This article details how it pivoted from in-person to virtual groups due to the COVID-19 pandemic. Concerns of privacy, client safety, and how to deliver the program virtually are explored, along with lessons learned.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.372
Teacher spread0.295 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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