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Record W7134487885

Programa global de trenamento em saúde: uma oportunidade para abrir a mente

2013· article· es· W7134487885 on OpenAlexaboutno aff
Zulma Vanessa Rueda

Bibliographic record

VenueRevista Digital Palabra (Universidad Pontificia Bolivariana) · 2013
Typearticle
Languagees
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMultidisciplinary approachInfectious disease (medical specialty)Global healthInternational healthWork (physics)Public health
DOInot available

Abstract

fetched live from OpenAlex

I belong to the Canadian Institutes of Health Research (CIHR) International Infectious Disease and Global Health Training Program (IID & GHTP). These are the program’s objectives (taken from: http://www.iidandghtp.com/iidghtp_program_objectives.html): 1) to equip trainees with the research, scientific knowledge, and skills to become outstanding researchers in infectious diseases and global health; 2) to create a novel and stimulating multidisciplinary and truly international research training environment that fosters creativity, opportunity, and innovation, and one that demands excellence; 3) to harness the unique opportunity offered by the critical mass of infectious diseases and global health infrastructure, research opportunities and outstanding scientists in the training of the next generation of infectious disease researchers; 4) to make available collaborative international research sites for the trainees’ primary research projects, sites for research practica and major course offerings; 5) to offer a shared learning environment, where trainees and mentors from all four of CIHR’s research pillars (clinical, social, basic, and epidemiology) and the four international training sites (Canada, Colombia, India, and Kenya) work cooperatively to explore issues of international infectious diseases and global health.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.625
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.015
GPT teacher head0.275
Teacher spread0.260 · 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
Published2013
Admission routes1
Has abstractyes

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