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Record W2972126234 · doi:10.29173/istl24

E-learning Technologies

2019· article· en· W2972126234 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

VenueIssues in Science and Technology Librarianship · 2019
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsLibrary and Archives CanadaMcGill University
Fundersnot available
KeywordsComputer scienceWorld Wide WebMultimedia

Abstract

fetched live from OpenAlex

Google Classroom https://classroom.google.com/ Anyone with a personal Google Account can start a class and provide the class code to individuals to join in via email. Classroom is accessible from all browsers, but there is also an app available for mobile devices. Assignments can be generated in different formats, such as Google Docs and Google Forms. Submitted assignments are filed in Google Drive folders, along with all course materials, for providing direct feedback. Classroom offers students control over email notifications and the opportunity to interact and share resources with each other. Moodle https://moodle.org/ Moodle may be the most widely used of the systems listed in this webliography. The software was released in 2001 by Martin Dougiamas and is now the project of Moodle Pty Ltd, based in Perth, Australia. The open-source platform can be downloaded for free and installed on a server. The company receives funds from the certified Moodle Partners program that supports those that are willing and able to pay for services. Moodle content

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)0.001
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 score0.308
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.321
Teacher spread0.300 · 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