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Record W2588046583 · doi:10.1080/00981389.2016.1265633

Medical social work positions: BSW or MSW?

2017· article· en· W2588046583 on OpenAlexafffundabout
Doris Grant, JoAnne S. Toh

Bibliographic record

VenueSocial Work in Health Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsSaskatchewan Health Authority
FundersUniversity of Regina
KeywordsSocial workScrutinyWork (physics)Position (finance)Social positionScale (ratio)Public relationsNursingMedicineBusinessPolitical scienceEconomic growthEconomics

Abstract

fetched live from OpenAlex

Acute care social work positions face budgetary scrutiny in the current climate of fiscal restraint in Canadian health care. Managers may be faced with the question of whether a new or vacant medical social work position should be filled by a BSW social worker or an MSW social worker. This question is further complicated when experienced and less costly BSW social workers are available while MSW social workers with medical or hospital experience may be limited in supply. This paper reviews the literature relevant to medical social work practice and hiring. A small scale survey was conducted with inter-professional managers responsible for the hiring of medical social workers. The purpose of this research was to examine the current hiring practices and considerations for hospital medical social workers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0140.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.532
Teacher spread0.472 · 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 designNot applicable
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

Citations11
Published2017
Admission routes3
Has abstractyes

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