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Record W3138747358 · doi:10.1177/09593543211002262

The making of financial subjects: A phenomenological study of student debt

2021· article· en· W3138747358 on OpenAlexaffabout
Sarah Feige, Jeffery Yen

Bibliographic record

VenueTheory & Psychology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDebtFeelingStudent debtInterpretative phenomenological analysisMeaning (existential)Phenomenology (philosophy)PsychologySocial psychologySociologyEveryday lifeQualitative researchSocial scienceEpistemologyFinanceEconomicsPsychotherapistPolitical scienceLaw

Abstract

fetched live from OpenAlex

While public commentators herald the arrival of the Canadian “student debt crisis,” psychological research into postsecondary student debt proliferates. This study explored the ways in which indebted students themselves understand the meanings and implications of student debt in their own lives, by means of semistructured interviews with nine indebted university students. A hermeneutic phenomenological approach to analysis yielded six themes: indebted by necessity; haunted by distressing thoughts and feelings about debts; living under the pressure to repay debts; living a constrained life; feeling alienated from others; and uncertainty about the meaning of university education. Findings suggest that student debt is characterized by the experience of feeling unable to “live one’s life,” and of looking toward a fragile future after university. By grounding the psychological experience of debt in the socially embedded, historical realities of students’ everyday lives, this work suggests implications for critical psychological understandings of financial subjectivation.

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)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.018
Scholarly communication0.0070.007
Open science0.0020.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.431
Teacher spread0.375 · 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 designQualitative
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

Citations7
Published2021
Admission routes2
Has abstractyes

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