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Record W2002890621 · doi:10.1093/hsw/27.4.274

Social Work in Restructuring Hospitals: Program Management Five Years Later

2002· article· en· W2002890621 on OpenAlexaffabout
Judith Globerman, Jenna White, Garry McDonald

Bibliographic record

VenueHealth & Social Work · 2002
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsRestructuringSocial workChampionAccountabilityWork (physics)Public relationsSociologyManagementPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Hospital restructuring in North America has involved re-engineering, downsizing, reorganizing, and remodeling of traditional hierarchical functional organizations into multisite programmatic conglomerates. The implications for professional disciplines have been dramatic in that departments such as social work have been dismantled and social work practice has come under the domain of program managers representing multiple disciplines. In this study 12 hospitals in Ontario, Canada, that were studied in the early stages of restructuring in 1995 expanded to 22 sites by 1999. The effect of the mergers and moves to program management on the social work profession was examined. The key findings are that social work line positions were not lost, but accountability and recruitment were no longer in the hands of the discipline. These findings suggest that it is more critical now than ever for social workers to champion their contributions to health.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.424
Teacher spread0.369 · 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

Citations34
Published2002
Admission routes2
Has abstractyes

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