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Record W2616331821 · doi:10.1177/1477878517701748

Should the public pay for higher education? Equality, liberty, and educational debt

2017· article· en· W2616331821 on OpenAlexaff
Christopher Martin

Bibliographic record

VenueTheory and Research in Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of British Columbia
FundersSpencer Foundation
KeywordsDebtStudent debtSocioeconomic statusAttendanceEconomicsHigher educationOrder (exchange)School choiceSociologyPublic economicsPolitical scienceEconomic growthFinance

Abstract

fetched live from OpenAlex

As governments shift costs from the public to students, a higher education has become synonymous with educational debt. Liberal egalitarians have justified educational debt on the grounds that it facilitates socioeconomic equality. On this view, the public should only fund access for those students who are so poorly off that educational debt would be too risky. In this article, I offer a ‘fair play’ analysis of higher education funding in order to show that socioeconomic equality is a necessary, but insufficient, criterion for assessing the fair contribution of public funding to higher education. In particular, I argue that higher education is instrumental to the free pursuit of a good life. I then argue that educational debt is unjust when it constrains borrower’s freedom to pursue a good life relative to those who do not have to borrow. In such cases, public funding should cover the attendance of students who would otherwise have no choice but to borrow in order to access a higher education.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.015
Scholarly communication0.0060.009
Open science0.0010.005
Research integrity0.0050.004
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 head0.362
GPT teacher head0.560
Teacher spread0.197 · 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 designTheoretical or conceptual
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

Citations4
Published2017
Admission routes1
Has abstractyes

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