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Record W2155696948

Low Post-Secondary Tuitions in Canada Are not a Wealth Transfer from the Poor to the Rich

2013· preprint· en· W2155696948 on OpenAlexaboutno aff
Sierra Rayne, Kaya Forest

Bibliographic record

VenueviXra · 2013
Typepreprint
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarTaxpayerInflation (cosmology)Demographic economicsGrade inflationEconomicsMonetary economicsTransfer (computing)BusinessFinanceHigher educationEconomic growthMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Between 2007/2008 and 2012/2013, inflation adjusted undergraduate tuition fees for full-time Canadian students increased significantly in all disciplines. All disciplines except dentistry also exhibited substantial increases in inflation adjusted graduate tuition fees for full-time Canadian students over this period. In contrast to prior claims in the literature, we show that low tuition rates in the Canadian post-secondary system do not redistribute wealth from the poor to the rich. For each dollar of taxpayer derived financial support going into the Canadian college and university system, the wealthiest families paid almost the entire amount. Consequently, it appears that regardless of current or proposed tuition rates, the Canadian post-secondary system is a wealth transfer from the rich to the poor.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.034
GPT teacher head0.350
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes1
Has abstractyes

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