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Avaliação familiar: do Modelo Calgary de avaliação da família aos focos da prática de enfermagem

2010· article· pt· W1974865507 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCiência Cuidado e Saúde · 2010
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsNursingContext (archaeology)Family healthNursing Interventions ClassificationNursing careIntervention (counseling)Psychological interventionHealth carePerspective (graphical)PsychologyMedicineGeography

Abstract

fetched live from OpenAlex

Family nursing is a specific area in the general context of nursing, emphasizing the interactions of the elements of the family, in a systemic perspective of care. Nursing intervention requires the use of models enabling the design of care geared to the collection of data and the planning of interventions. Therefore the Calgary Family Assessment Model (CFAM) is useful to understand the family in its multidimensionality. The study aimed to identify areas of nursing care in the family health context. Using the methodology of action research, the sample was formed by nurses of a Health Centre in Northern Portugal, using the technique of group discussion. From the results emerged a reconstruction of the Care Model through the combination of the focus of the practice described in the International Classification for Nursing Practice with the concepts of CFAM. In this model co-built evaluative categories have been specified to define the areas of attention in the context of Family Nursing. We believe to be a first step in the definition of the knowledge in this specific area, as the aspects that influence health states, which determine the health nursing care, concern the knowledge of nursing.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0060.007

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 head0.074
GPT teacher head0.391
Teacher spread0.317 · 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