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Record W2075012711 · doi:10.12927/hcpol.2008.19819

The Future of the Regional Training Centres: Planning for Sustainability

2008· article· en· W2075012711 on OpenAlexaffvenue
William Montelpare, E. Biden, Pat Lee, Sam Sheps, Carl‐Ardy Dubois, Isabelle Brault

Bibliographic record

VenueHealthcare policy · 2008
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité de MontréalLakehead University
Fundersnot available
KeywordsSustainabilityVariety (cybernetics)Plan (archaeology)Training (meteorology)Task (project management)Face (sociological concept)Medical educationKnowledge managementBusinessPsychologyNursingSociologyMedicineManagementComputer scienceGeography

Abstract

fetched live from OpenAlex

The main objective of the Regional Training Centres (RTCs) is to produce well qualified personnel within the fields of health services and nursing research. Through their collaborative efforts, each of the RTCs has created opportunities for conceptual and methodological competency, knowledge synthesis and knowledge translation and exchange for graduate students, as well as for community-based decision-makers across a variety of areas in applied health and nursing services research. Now, the RTCs face the challenge of envisioning their future. The task is not merely to describe what is, nor what will be, but rather to envision what could be. The purpose of this paper is to describe a plan for sustainability, not only financially but also with respect to management of human resources, student development and collaboration among the partners who make up the collective that is a Regional Training Centre.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.682
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
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.503
Teacher spread0.405 · 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 designTheoretical or conceptual
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

Citations5
Published2008
Admission routes2
Has abstractyes

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