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Record W4389868647 · doi:10.1080/10668926.2023.2295485

A Pilot Study of Drayton Valley’s Zero-Fee Tuition Program

2023· article· en· W4389868647 on OpenAlex
Matt Ormandy, Alexa Ferdinands, Autumn Nesdoly, Maria Mayan

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

VenueCommunity College Journal of Research and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsAthabasca UniversityUniversity of Alberta
Fundersnot available
KeywordsZero (linguistics)BusinessPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This qualitative pilot study introduces and reflects on early development and implementation of the Zero Fee Tuition (ZFT) program in the rural, oil and gas town of Drayton Valley, Alberta, Canada. This innovative, primarily municipally funded program, implemented in 2019, provides local students with up to $5,000 in free tuition for select post-secondary programs. Here we situate ZFT within higher education funding debates and other publicly funded tuition assistance programs in North America. ZFT is then put into conversation with a typology of tuition assistance Promise programs in the United States, framing ZFT as a last dollar, place-based, and universal program. Implications for such programs are explored in the context of Canadian post-secondary education. We conclude by drawing implications from our pilot examination of ZFT.

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)0.038
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0380.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.351
GPT teacher head0.571
Teacher spread0.220 · 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