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Record W2035698169 · doi:10.1016/s0840-4704(10)60580-7

10 Steps to a Successful Governance Transfer

2002· article· en· W2035698169 on OpenAlexaffabout
Jessica E. Lambert, Cliff Nordal

Bibliographic record

VenueHealthcare Management Forum · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsSt Joseph's Health CareSouth Bruce Grey Health Centre
Fundersnot available
KeywordsNegotiationInstitutionalisationMental healthcareCorporate governanceMental healthTable (database)Health carePublic relationsMental health careProcess (computing)Public administrationNursingPolitical scienceBusinessSociologyPsychologyMedicinePsychiatryComputer scienceFinance

Abstract

fetched live from OpenAlex

The governance of several provincial psychiatric hospitals was transferred to the public hospitals across Ontario, with London and St. Thomas being two of them There were many learnings gained from the London/St. Thomas experience that can be taken forward to other transfers such as this. The keys to success included having a central negotiating table across all receiving hospitals, developing principles or values for a common vision across all parties, effective communication and commitment to the process. These learnings will be brought forward into Tier 2 and 3 of the transfers, when beds and programs will decentralize across Southwestern Ontario, and a reinvestment in community mental health will support the de-institutionalization of mental healthcare.

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)0.020
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0160.013
Scholarly communication0.0140.008
Open science0.0030.017
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0190.004

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 head0.090
GPT teacher head0.400
Teacher spread0.310 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2002
Admission routes2
Has abstractyes

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