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Wright LM, Leahey M. Nurses and families: a guide to assessment and intervention in family. 5th ed. São Paulo (SP): Roca; 2012

2014· article· en· W2013618156 on OpenAlexaboutno aff
Ronaldo de Sousa Moreira Baia, Lúcia Hisako Takase Gonçalves, Marília de Fátima Vieira de Oliveira

Bibliographic record

VenueRev Rene · 2014
Typearticle
Languageen
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsnot available
Fundersnot available
KeywordsWrightIntervention (counseling)HumanitiesNursingMedicineGerontologyPsychologyHistoryArtArt history

Abstract

fetched live from OpenAlex

The book Nurses and families: a guide to assessment and intervention in the family, translated to Portuguese, French, Japanese, Korean and Swedish languages , is known as the Calgary Model. The material covers the Family Nursing action aiming to improve clinical knowledge and service skills, with a focus on the family unit, in addition to providing updates on the topic. Published in 2012, is in its fifth edition, with 365 pages, having as organizers Canadian nurses Drs Lorraine M. Wright and Maureen Leahey. Both are professors at the University of Calgary in Alberta, Canada, and members of Canadian Nurses Association. Since the late 1980s, they have been developing and improving the Calgary Model, which has been well accepted and has been applied in many parts of the world.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0210.010

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 head0.022
GPT teacher head0.388
Teacher spread0.365 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2014
Admission routes1
Has abstractyes

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