Alice de Visscher : Fragments de mélancolie dans la performanceAlice de VIsscher, performance dans le cadre de Viva ! Art Action, bain saint-michel, Montréal, 8 octobre 2011Alice de VIsscher, performance dans le cadre de Viva ! Art Action, bain saint-michel, Montréal, 8 octobre 2011
Bibliographic record
Abstract
Developed nations are implementing initiatives to transform the delivery of primary care. New models have been built around multidisciplinary teams, information technology and systematic approaches for chronic disease management (CDM). In Australia, the General Practice Super Clinic (GPSC) model was introduced in 2010. A case study approach was used to illustrate the development of inter-disciplinary CDM over 12 months in two new, outer urban GPSCs. A social scientist visited each practice for two 3-4-day periods. Data, including practice documents, observations and in-depth interviews (n=31) with patients, clinicians and staff, were analysed using the concept of organisational routines. Findings revealed slow, incremental evolution of inter-disciplinary care in both sites. Clinic managers found the facilitation of inter-disciplinary routines for CDM difficult in light of competing priorities within program objectives and the demands of clinic construction. Constraints inherent within the GPSC program, a lack of meaningful support for transformation of the model of care and the lack of effective incentives for collaborative care in fee-for-service billing arrangements, meant that program objectives for integrated multidisciplinary care were largely unattainable. Findings suggest that the GPSC initiative should be considered a program for infrastructure support rather than one of primary care transformation.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".