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Record W2744581070 · doi:10.1177/2050640617713936

The organisation and needs of young sections belonging to UEG National Societies: Results of a Europe‐wide survey

2017· article· en· W2744581070 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUnited European Gastroenterology Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation in Diverse Contexts
Canadian institutionsTrinity College
Fundersnot available
KeywordsMedicineEnvironmental healthFamily medicine

Abstract

fetched live from OpenAlex

One of the aims of the Young Talent Group (YTG) is to make United European Gastroenterology (UEG) more attractive for young fellows interested in gastroenterology, and to involve them actively in UEG activities, by collaborating with young GI sections (YGIS) across Europe. Therefore, the YTG launched a survey to collect up-to-date information on YGISs belonging to UEG National Societies. The Friends of YTG were chosen as the target population and received a web-based questionnaire concerning their personal information, the structure of YGIS in their respective country, the YGIS' support mechanisms for young trainees, and ideas on how to improve them. Overall, 24 of 29 Friends answered the survey (83%). Among the Societies surveyed, only half have a young section. Typically, YGIS are supported, but not influenced, by National Societies through several initiatives. Results of the survey suggest that a lack of funding, of harmonised education, and of active roles available within National Societies, were the concerns most prevalent among young fellows. Our survey shows that the development of YGIS is being hindered by organisational, financial, and political issues. The YTG believes that a close collaboration between National Societies, UEG, and the YTG is necessary in order to offer young fellows the most productive and professionally satisfying future possible.

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)0.005
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.312
Teacher spread0.272 · 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