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Record W7025103765

The use of the Calgary model in nursing dissertations and theses: a bibliometric study

2018· article· en· W7025103765 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

VenueDialnet (Universidad de la Rioja) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsnot available
Fundersnot available
KeywordsBibliometricsSample (material)Subject (documents)Nursing researchMEDLINENursing literature
DOInot available

Abstract

fetched live from OpenAlex

Objective: The study’s purpose has been to analyze some bibliometric indicators of nursing Dissertations\nand Theses with regards to the Calgary Family Assessment Model (CFAM) produced in Brazil. Methods: It\nis a bibliometric study, where the sample consisted of fourteen Dissertations and seven Theses, which were\npublished over the period from 2002 to 2014, and selected by consulting the Capes Portal, BDENF, BDTD\nand CEPEn. Results: The indicators have shown a reduced quantity of publications on the subject during the\nperiod scrutinized. Most of the studies were from Nursing Postgraduate Programs in the Southeast region.\nMost of the surveyed studies were written in dissertation fashion. There was a predominance of studies with\na qualitative approach. Conclusion: Despite the reduced number of Dissertations and Theses of Nursing who\nhave used the CFAM in Brazil, studies based on this model attracted the interest of researchers in spreading\nthe knowledge produced by prestigious scientific journals in the research field.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.011
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 head0.099
GPT teacher head0.427
Teacher spread0.328 · 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