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Record W4378767245

SaudiMEDs and CanMEDs frameworks: similarities and differences

2019· article· en· W4378767245 on OpenAlexaboutno aff
Shadid AM, Bin Abdulrahman AK, Bin Dahmash A, Aldayel AY, Alharbi MM, Abdulaziz S. Alghamdi, Ahmed Mohammed Alasmari, Qabha HM, Mansour K Almadi, Mohammed S. Almasri, Saleh Aloyouny, Yasir Nawar Awwadh Alotaibi, Yazeed M Almotairy, Bukhari YR, Bin Abdulrahman KA

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsEvolutionary biologyComputer scienceComputational biologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Asem M Shadid, Amro K Bin Abdulrahman, Abdulmajeed Bin Dahmash, Abdulrahman Yousef Aldayel, Muteb Mousa Alharbi, Abdullah Alghamdi, Abdulaziz Alasmari, Hamad M Qabha, Mansour Almadi, Mohammed Almasri, Saleh Aloyouny, Yasir Alotaibi, Yazeed Almotairy, Yousef R Bukhari, Khalid A Bin AbdulrahmanDepartment of Medical Education, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi ArabiaBackground: The SaudiMEDs framework was founded and adopted by the Saudi Deans’ Committee in 2011 to ensure that Saudi medical graduates learned core competencies. Meanwhile, CanMEDs was established by the Canadian Royal College of Physicians and Surgeons in 1996 and aimed to establish the abilities and skills of all aspects of medical practice, as well as to ensure the acquisition of basic knowledge related to medical education. The main purpose of this study was to explore the similarities and differences between both frameworks.Methods: In March and April 2017, 15 researchers conducted an extensive review of both the SaudiMEDs and CanMEDs frameworks using a semi-quantitative evaluation with color codes to determine the following: the exact similarities in both frameworks, the close similarities, and the unique differences.Results: According to the coloring system, most of the frameworks were similar. For example, Leadership, Communication and Professionalism were almost identical in both frameworks. There was some degree of similarity between both frameworks in “Collaborator”. Furthermore, the SaudiMEDs framework had a unique input which involved the most essential skills that undergraduate medical students must acquire.Conclusion: SaudiMEDs has great potential to improve the quality of Saudi medical graduates in a manner that fits our current and future needs. CanMEDs focuses mainly on outcomes and processes, while SaudiMEDs focuses more on outcomes. SaudiMEDs was not created to provide a copy-and-paste curriculum. The ultimate goal was to create an outcome-based curriculum that ensures the quality of Saudi medical school graduates.Keywords: SaudiMEDs, CanMEDs, framework, competency-based education, Saudi Arabia

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.194
GPT teacher head0.545
Teacher spread0.351 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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