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Record W3015454485 · doi:10.11575/prism/37657

Selected Proceedings of the IDEAS Conference Transforming Pedagogies: Learn – Design – Innovate

2020· article· en· W3015454485 on OpenAlexaboutno aff
Sharon Friesen, Jim Brandon, Michele Jacobsen

Bibliographic record

VenueOpen MIND · 2020
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering ethicsSociologyPolitical sciencePublic relationsKnowledge managementPedagogyEngineeringComputer science

Abstract

fetched live from OpenAlex

Innovators, Designers, Educators, Academics and Students (IDEAS) 2019, Transforming Pedagogies is the sixth conference hosted by the Werklund School of Education at the University of Calgary. The mandate of the conference is to improve education through research, evidence-informed decisions across teaching, learning, and leadership. The conference brings together innovators, designers, K-12 practitioners, school leaders, post-secondary educators, consultants, undergraduate and graduate students, ministry personnel, academics, and researchers. All proposals to the conference go through a blind review process. Those proposals that potential presenters indicate will be submitted to the proceedings undergo a second double-blind review. The accepted proposals for the proceedings are invited to submit papers for the Proceedings of the IDEAS Conference, following the conference. These papers undergo a double-blind peer-review process that involves a minimum of two people reviewing each proposal. The reviewers’ feedback provides recommendations to the authors for improving and revising their manuscripts. Authors are required to address reviewers’ comments for the final version.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.109
GPT teacher head0.321
Teacher spread0.212 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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