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Financialization and the Household

2023· article· en· W4387874137 on OpenAlexfundno aff
Caitlin Zaloom, Deborah James

Bibliographic record

VenueAnnual Review of Anthropology · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
FundersYork UniversityWissenschaftskolleg zu BerlinLondon School of Economics and Political Science
KeywordsFinancializationResidencePosition (finance)FinanceCreativityKinshipEconomicsValue (mathematics)BusinessSociologyPolitical science

Abstract

fetched live from OpenAlex

Finance and the household are a pair that has not received sufficient attention. As a system, finance joins citizens, states, and global markets through the connections of kinship and residence. Householders use loans, investments, and assets to craft, reproduce, attenuate, and sever social connections and to elevate or maintain their class position. Householders’ social creativity fuels borrowing, making them the target of banks and other lenders. In pursuit of their own agendas, however, householders strategically deploy financial tools and techniques, sometimes mimicking and sometimes challenging their requirements. Writing against the financialization of daily life framework, which implies a one-way, top-down intrusion of the market into intimate relations, we explore how householders use finance within systems of social obligations. Financial and household value are not opposed, we argue. Acts of conversion between them produce care for the self and others and refashion inherited duties. Social aspiration for connection and freedom is an essential force in both financial lives and institutions.

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)0.001
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: Review · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.019
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.279
Teacher spread0.246 · 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
GenreReview

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

Citations39
Published2023
Admission routes1
Has abstractyes

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