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Record W6968655371 · doi:10.5281/zenodo.3782926

Numeracy and Quantitative Reasoning Initiative at the University of Guelph

2007· article· en· W6968655371 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2007
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Programs
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsNumeracyMultidisciplinary approachResource (disambiguation)DisseminationService-learningExperiential learningActive learning (machine learning)

Abstract

fetched live from OpenAlex

Numeracy has been identified as a long standing learning objective for the University of Guelph from 1987 through to 2006.nbsp; A successful application to the Learning Enhancement Fund program at the University of Guelph has lead to the creation of a multidisciplinary group comprised of individuals from Teaching Support Services, the Mathematics and Statistics department, the Data Resource Centre, the Library, the Learning Commons and Computing and Communications Service to spearhead the initiative.nbsp; The group will be responsible for the development of a repository to collect and disseminate learning objects that will build new opportunities for students to improve their numeracy and quantitative reasoning skills.nbsp; This paper will outline the purpose of the initiative and will share development strategies and progress to date.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.098
GPT teacher head0.320
Teacher spread0.222 · 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