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Caller Characteristics, Call Contents, and Types of Assistance Provided By Caller Sex and Age Group in a Canadian Inuit Crisis Line in Nunavut, 1991–2001

2012· article· en· W1536385270 on OpenAlexaffabout
Josephine C. H. Tan, K. Amanda Maranzan, Margaret Boone, J. Vander Velde, Sheila Levy

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2012
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsLakehead UniversityGovernment of NunavutNunavut Research Institute
Fundersnot available
KeywordsBoredomLonelinessActive listeningReferralIndigenousIntervention (counseling)MedicinePsychologyGerontologyFamily medicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Analysis of calls made to a northern Canadian Inuit crisis line in the territory of Nunavut between 1991 and 2001 revealed that the majority of users were adult females who called to discuss problems primarily related to relationships and loneliness/boredom. Younger callers tended to make prank calls. The volunteer staff used mostly empathetic listening and suggestions. Referral recommendations made were primarily to social services. Although some callers experienced a language barrier, others found the service to be helpful. Results suggest that the crisis line was underused by young Inuit males who represent a group that are most in need of crisis intervention.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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

Citations15
Published2012
Admission routes2
Has abstractyes

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