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Record W36862844 · doi:10.3148/cjdpr-2022-036

Entrevista a Montserrat Busquets, miembro del Comité de Bioética de Catalunya

2004· article· en· W36862844 on OpenAlexaboutno aff
Ester Busquets i Alibés

Bibliographic record

VenueBioètica & debat: Tribuna abierta del Institut Borja de Bioètica · 2004
Typearticle
Languageen
FieldMedicine
TopicEthics and bioethics in healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeography

Abstract

fetched live from OpenAlex

Gaps in communication training have been identified in Canadian and international academic and practicum dietetics programs. A workshop was developed to pilot supplementary media training to nutrition students/trainees studying in Nova Scotia. Students, interns, and faculty from two universities participated in the workshop. Data on perceived learning, media knowledge/skill use, and workshop feedback were collected immediately post-workshop using a mixed-form questionnaire. A modified questionnaire was administered eight months post-workshop to obtain information on utility of the perceived acquired knowledge/skills. Closed-ended responses underwent descriptive analysis, while open-ended responses underwent thematic analysis. Twenty-eight participants completed the questionnaire post-workshop, and six completed it at follow-up. All participants rated the workshop positively (7-point Likert scale) and reported learning something new (perceived). Perceived learning emphasized general media knowledge/skills and communication skills. Follow-up data suggested participants had applied perceived media knowledge/skills in message development and media and job interviews. These data suggest that nutrition students/trainees may benefit from supplementary communications and media training and provide a stimulus for ongoing curriculum review and discussion.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.042
GPT teacher head0.338
Teacher spread0.296 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2004
Admission routes1
Has abstractyes

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