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Record W2898065678

[The Humanistic Model of Nursing Care - UdeM : an innovative and pragmatic perspective].

2016· article· en· W2898065678 on OpenAlexaboutno aff
Chantal Cara, Jérôme Gauvin‐Lepage, Hélène Lefebvre, Dimitri Létourneau, Marie Alderson, Caroline Larue, Janique Beauchamp, Lisette Gagnon, Manouche Casimir, Francine Girard, Marielle Roy, Louise Robinette, Caroline Mathieu

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsDehumanizationHumanismNursingPerspective (graphical)Quality (philosophy)Health carePsychological interventionNursing carePsychologyMedicineSociologyComputer scienceEpistemologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

As in many other countries, Québec is not immune to healthcare reforms, which can unfortunately hinder quality of care as well as induce some dehumanization, both for the patients and the healthcare professionals. Thus, the « Humanistic Model of Nursing Care - UdeM » (HMNC-UdeM) aspires to offer an innovative perspective that aims at improving the quality and the safety of care, in addition to satisfaction and well-being for both patients and nurses. While respecting their theoretical influences, the authors present their vision of the central concepts of the discipline and the Model’s key concepts, seeking to make them more understandable, accessible, and applicable in nurses’ daily practice. Therefore, the aim of this article is to raise awareness of the Model into the nursing community, to promote its implantation in nursing’s spheres of activities, in addition to demonstrate its applicability and impact in nursing research. It appears that this model is promising for the renewal and the development of humanistic interventions for patients’ care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.604

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 studies0.0010.000
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 head0.103
GPT teacher head0.425
Teacher spread0.322 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations14
Published2016
Admission routes1
Has abstractyes

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