MétaCan
Menu
Back to cohort
Record W2282436535

The Kaleidoscope Scientific Vision for Research in Technology Enhanced Learning

2007· preprint· en· W2282436535 on OpenAlexaff
Diana Laurillard, E Alexopoulou, James Bligh, Rosa Maria Bottino, Denis Bouhineau, Augusto Chioccariello, Secundino Correia, Paul Davey, Jan Derry, Giuliana Dettori, Lone Dirckinck‐Holmfeld, Claudio Dondi, Aude Dufresne, Paul Hayes, Ton de Jong, Vincent Jonker, Paul A. Kirschner, Lydia Montandon, Yishay Mor, Leonel Morgado, Tim Neumann, Jean-François Nicaud, Richard Noss, Marisa Ponti, Thomas Ryberg, Mike Sharples, Allison Walker, Kevin Walker, Jocelyn Wishart

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2007
Typepreprint
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsKaleidoscopeBespokeProcess (computing)Computer scienceFocus (optics)Statement (logic)Problem statementCollaborative learningKnowledge managementWorld Wide WebEngineeringManagement scienceBusinessPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Position paper prepared for the European Commission, DG INFSO, under contract N°. IST 507838 as a deliverable from WP2

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 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)0.118
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1180.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0010.005
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 head0.075
GPT teacher head0.430
Teacher spread0.355 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicInnovative Teaching and Learning MethodsFrench-language works237,207