MétaCan
Menu
Back to cohort
Record W2039498836 · doi:10.1108/10662240410530880

Developing an integrated Web engine for online Internetworking education: a case study

2004· article· en· W2039498836 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternet Research · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsInternetworkingComputer scienceThe InternetWorld Wide WebQuality (philosophy)ArchitectureBroadbandDistance educationMultimediaEngineering managementTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Abstract An integrated Web engine (IWE) has been developed by the Internetworking program at Dalhousie University, Halifax, Canada to deliver remote learning experience to geographically remote Master's students. The University intends to increase its student base through online education, retaining the same quality of interactions as the onsite program. To this end, the IWE accommodates three technology‐enabled learning environments that correlate with the three pedagogical approaches and types of onsite interaction. Discusses the e‐learning metrics, pedagogical and technical considerations that influence the design and implementation of the IWE environment. The IWE uses de facto networking standards, commercial and broadband Internet connectivity to ensure real‐time secure interaction with equipment and deliver lectures respectively. A four‐tier role architecture, consisting of faculty, local, remote facilitators, and students, has been determined to be appropriate and adapted to maintain academic integrity and offer the same quality of interaction as the onsite program.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.200
GPT teacher head0.523
Teacher spread0.323 · 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