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Record W1783731294 · doi:10.47678/cjhe.v30i3.183369

The Eroding Standards Issue: A Case Study from the University of Waterloo

2000· article· en· W1783731294 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Higher Education · 2000
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Programs
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFeelingMathematics educationPeriod (music)Test (biology)PsychologyMedical educationMedicineSocial psychology

Abstract

fetched live from OpenAlex

The proposition is addressed that the mathematical skills of first year entrants into the Faculties of Mathematics, Engineering, Science and Applied Health Sciences at The University of Waterloo have declined. Analysis of a series of scores from a mathematics diagnostic test for new students suggests a decline over the period 1991-93 and possibly through to 1995. This reproduces a trend detected at The University of Western Ontario. By the mid-1990s, however, the scores level out. Many of the faculty members questioned in a survey also perceived a decline, and, independently of the time series data, informants pointed to the early 1990s as the critical period of decline. The feeling of being under pressure to adjust to declining standards by upward "belling" of grades varied greatly by faculty, being far more prevalent within the Faculty of Mathematics than in other faculties surveyed. The survey respondents claimed that most deficiencies in mathematics preparation in the high schools were remediable by working to alter the attitudes and expecta- tions of first year university students.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.321
Teacher spread0.285 · 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