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Record W4403325747 · doi:10.1055/a-2218-9957

„WeiterbildungPLUS“: eLogbuch, Entrustable Professional Activities & Co.

2024· article· de· W4403325747 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

VenueAINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie · 2024
Typearticle
Languagede
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyChemistry

Abstract

fetched live from OpenAlex

The transformation of time-bound and procedure-oriented specialist medical postgraduate training towards a competency-based approach (competency-based medical education, CBME) has been demanded for several years. Many frameworks, like the CANMEDs (Canadian Medical Education Directives for Specialists) describe competencies that should be acquired by each physician. In Germany, the medical council has recently obligated a competency-based postgraduate training. Although the idea of CBME emphasizes the learning process at the working place, CBME has also been criticized to be too theoretical and detached from the clinical working practice. To close this gap, the concept of Entrustable Professional Activities (EPA) has been introduced. An EPA describes concrete clinical tasks that are successively entrusted to the trainee. The decision to entrust a task is supported by the sum of workplace-based assessments.Sustainable implementation of competency-based training requires close collaboration among all involved individuals and institutions. Furthermore, continuous feedback and open dialogue are crucial for identifying challenges and areas for improvement. The success of CBME hinges on the collective effort of all stakeholders to create a framework to enhance specialty training and an overall advancement in the field. This cooperative approach is essential to successfully translate the theoretical foundations of competency-based teaching into clinical practice and ensure high-quality specialty training.

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)0.007
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0020.006
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.004

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 head0.075
GPT teacher head0.418
Teacher spread0.342 · 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