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Record W2087039364 · doi:10.1080/01930826.2010.488961

Anything, Anywhere, Anytime: The Promise of the ANimated Tutorial Sharing Project for Online and Mobile Information Literacy

2010· article· en· W2087039364 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 Library Administration · 2010
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsBrandon University
Fundersnot available
KeywordsComputer scienceWorld Wide WebWeb syndicationMultimediaPoint (geometry)PhoneMobile deviceMobile phoneInformation literacyTelecommunications

Abstract

fetched live from OpenAlex

ABSTRACT Reaching and teaching users in the diffuse, multigadget, online/mobile world is a significant challenge facing libraries. This article discusses how the ANimated Tutorial Sharing Project (ANTS) production model provides libraries with a sustainable approach to building large numbers of multimedia learning objects that are useful beyond one library. It will also discuss how ANTS file conversion and syndication efforts mean that these learning objects (1) can be made highly visible to users accessing content via a computer or smart phone and (2) enable libraries to establish a meaningful electronic presence for the purpose of providing point-of-need information literacy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.915

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 communication0.0010.013
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 head0.008
GPT teacher head0.259
Teacher spread0.251 · 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