MétaCan
Menu
Back to cohort
Record W1998384383 · doi:10.1300/j010v34n03_05

Retooling Social Work Practice for High Volume, Short Stay

2002· review· en· W1998384383 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Work in Health Care · 2002
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMultidisciplinary approachSocial workContext (archaeology)Psychological interventionWork (physics)Acute careMedicineDischarge planningNursingMedical emergencyHealth careSociologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

The re-engineered acute care environment that emphasizes managed care, reduced costs per case and shorter lengths of stay also demands innovative approaches to the delivery of social work service. As departments disappear and other professions compete for roles in counselling, discharge planning and community liaison, there is a real threat to the viability of the acute hospital as a setting for social work. This paper focuses on the adaptive skills needed for the restructured acute care context, including (1) the creation of key roles for social work on the multidisciplinary team, (2) pre-admission high-risk screening and discharge planning, (3) high volume recording, (4) solution-focused brief interventions, and (5) the development of community partnerships. These conceptual strategies are implemented differently in examples drawn from three distinct high-volume patient groups: reconstructive orthopaedics, high-risk fetal assessment and thoracic oncology.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.262
GPT teacher head0.526
Teacher spread0.264 · 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