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Interdisciplinary, Web‐Based, Self‐Study, Interactive Programs in the Dental Undergraduate Program: A Pilot

2003· article· en· W2159519192 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

VenueJournal of Dental Education · 2003
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUsabilityComputer scienceScope (computer science)The InternetSoftwareWeb applicationMultimediaVariety (cybernetics)World Wide WebEngineering managementSoftware engineeringHuman–computer interactionEngineering

Abstract

fetched live from OpenAlex

The goal of this project was to encourage interdisciplinary, integrative health teaching and research in dental education through the development of web-accessible programs, collectively called the "StudyWeb." The specific objective of the project was the construction and integration of a series of prototypes of self-study modules. Four pilot modules were developed using existing teaching materials in histology, pharmacology, prosthodontics, and oral radiology and utilizing a variety of widely available software programs, including FrontPage and Photoshop. Low-end technological choices were made in order to facilitate compatibility with a wide range of hardware, software, and types of Internet access. Modules were tested for functionality, usability, and ease of navigation. The scope of the initial project was limited to development and functionality testing of the original modules. The next phase of this project will involve testing of the effectiveness of these web-based self-instruction tools.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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