MétaCan
Menu
Back to cohort

Reforming Undergraduate Dental Education in India: Introducing a Credits and Semester System

2011· article· en· W2406920689 on OpenAlexaboutno aff
Mandeep Singh Virdi

Bibliographic record

VenueJournal of Dental Education · 2011
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsDental educationCurriculumCommissionMedical educationQuarter (Canadian coin)Undergraduate educationPolitical scienceEconomic growthMedicineEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

To make higher education in India more dynamic and responsive to a fast-developing society and its aspirations, there has been widespread recognition of a need for reform. Among the proposed changes, expert committees and the National Knowledge Commission have recommended the introduction of a credits and semester system starting in undergraduate education. Technical institutions and some universities have already adopted this system. The country's dental schools are beginning to consider such a change, which would bring them more into alignment with the structure of dental education in North America and many countries in other parts of the world. Since dental schools in most developed countries follow a quarter/semester system, there is much evidence of the merits of such a system for dental education. After providing an overview of the present curriculum structure of dental education in India and the national move toward reform, this article presents the case for a new credits and semester system for undergraduate dental education in India.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.302
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Dental EducationSame topicInnovations in Medical EducationFrench-language works237,207