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Record W1990080279 · doi:10.1177/0896920513513964

Student Loans, Debtfare and the Commodification of Debt: The Politics of Securitization and the Displacement of Risk

2014· article· en· W1990080279 on OpenAlexaff
Susanne Soederberg

Bibliographic record

VenueCritical Sociology · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsQueen's University
Fundersnot available
KeywordsCommodificationSecuritizationDebtStudent debtFinancializationPoliticsAsset (computer security)EconomicsLoanBusinessFinancial systemMarket economyFinancePolitical scienceLaw

Abstract

fetched live from OpenAlex

Student loans represent the largest and fastest growing segment of unsecured consumer debt in the US; yet, the literature is silent on the power relations of the industry. Who benefits from the expansion and reproduction of student debt to low-income students, and how? To address these questions, I explore two key features of the industry: the high level of upstream repackaging of student loan asset-backed securities (SLABS) and the high default rates. By historically contextualizing SLABS, I reveal the intrinsic political nature of the processes surrounding the commodification of debt. Through the temporal displacements inherent in the commodification of debt (i.e. accelerating the repayment schedule for lenders), SLABS serve to reduce financial risk for private lenders, whilst relocating the social dimensions of risk onto student debtors. The neoliberal state plays an integral role in attempting to mediate, discipline, and depoliticize the social fallout involved in the relocation of risk, primarily through regulatory reforms.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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 teacher head, not a consensus.

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

Citations42
Published2014
Admission routes1
Has abstractyes

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