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Record W2151943683 · doi:10.1093/hsw/hls012

Riding Third: Social Work in Ambulance Work

2012· article· en· W2151943683 on OpenAlexaff
Hilary Campbell, Bodil Rasmussen

Bibliographic record

VenueHealth & Social Work · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusVancouver Coastal Health
Fundersnot available
KeywordsBiopsychosocial modelSocial workPsychosocialWork (physics)Perspective (graphical)NursingMedical emergencyPsychologyEmergency medical servicesApplied psychologyMedicinePsychiatryPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This research explored the possible role of social work alongside emergency ambulance services. An ethnographic study included semistructured interviews and direct observations collected over 300 hours while riding in ambulances in an urban setting. The data suggest that social work could play a role by providing needed psychosocial care during ambulance calls. Emergency personnel were often consumed by the medical crises and further constrained by the perceived narrow parameters of their work roles. Consequently, social work's role, informed by a broader biopsychosocial perspective, is envisioned as responding to the observed gaps in service.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.009
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.088
GPT teacher head0.432
Teacher spread0.344 · 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 designQualitative
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 routes1
Has abstractyes

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