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Record W2143357247 · doi:10.3109/09638288.2011.560330

The Caring-Disability Creation Process model: a new way of combining ‘Care’ in nursing and ‘Rehabilitation’ for better quality of services and patient safety

2011· article· en· W2143357247 on OpenAlexaff
Daphney St‐Germain, Brigitte Boivin, Patrick Fougeyrollas

Bibliographic record

VenueDisability and Rehabilitation · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité Laval
Fundersnot available
KeywordsRehabilitationNursingProcess (computing)Quality (philosophy)PsychologyProcess managementMedicineComputer sciencePhysical therapyBusiness

Abstract

fetched live from OpenAlex

In an effort to continuously improve the quality of the services provided to persons in rehabilitation and patient safety, this article presents a model for the development of a Caring-Disability Creation Process that combines two elements that, in the past, have often been separated: care in nursing and rehabilitation. This new model and its underlying concepts introduce to a comprehensive approach in the recognition of the added value of caring by the contribution of rehabilitation nurses making an optimal development of the individual's potential and achieving successful social participation.

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)0.012
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.027
Scholarly communication0.0120.016
Open science0.0030.009
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.044
GPT teacher head0.405
Teacher spread0.361 · 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 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

Citations16
Published2011
Admission routes1
Has abstractyes

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