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Record W2095361156 · doi:10.1177/1091142106292774

Debt Aversion and the Demand for Loans for Postsecondary Education

2007· article· en· W2095361156 on OpenAlex
Catherine C. Eckel, Cathleen Johnson, Claude Montmarquette, Christian Rojas

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

VenuePublic Finance Review · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsUniversité de MontréalCenter for Interuniversity Research and Analysis on Organizations
Fundersnot available
KeywordsDebtSubsidyEconomicsInvestment (military)PaymentFinanceCashStudent debtMonetary economicsActuarial scienceBusinessPolitical science

Abstract

fetched live from OpenAlex

The authors report the results of an experiment designed to measure the impact of different forms of subsidies on the demand for postsecondary education financing among a sample of adults ages 18–55 in Canada. The experiment presents subjects with a series of choices involving trade-offs between cash payments and grants or loans earmarked for full or part-time education. In addition, the experiment includes experimental measures of time and risk preferences, and an extensive survey of experience and attitudes. This article focuses on the role of a person's attitudes toward debt (debt aversion) and experience with debt ( debt use) in the decision to take up subsidized loans for postsecondary education. Using survey measures, the authors find no evidence that debt aversion is an important barrier to investment in postsecondary education. In addition, subjects with experience carrying and managing debt are more willing than others to take on additional debt to finance postsecondary 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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.257
Teacher spread0.243 · 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