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Record W3120501030 · doi:10.1093/ser/mwaa050

Exit, voice and loyalty in the family: findings from a basic income experiment

2020· article· en· W3120501030 on OpenAlexaffabout
Pilar Goñalons-Pons, David Calnitsky

Bibliographic record

VenueSocio-Economic Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsWestern University
FundersNational Science Foundation
KeywordsSeparation (statistics)LoyaltyBargaining powerVulnerability (computing)Power (physics)Demographic economicsSocial psychologyEconomicsPsychologySociologyBusinessMicroeconomicsMarketing

Abstract

fetched live from OpenAlex

Abstract This article investigates how a basic income could transform families and gender power relations within them. We draw on Hirschman’s exit, voice and loyalty framework to argue that a basic income can offer a structural foundation for a radical shift towards more equitable family relations. This is because a basic income can support couples through economic uncertainty and reduce women’s structural vulnerability to economic dependency within marriages that strips them of exit and voice. We build our case on novel data from an understudied social experiment from the late 1970s called the Manitoba Basic Income Experiment, or Mincome. Using difference-in-difference regression with individual fixed-effects, we analyze three types of family outcomes: separation, bargaining power and marital conflict. We find that during Mincome unhappy couples became more likely to consider separation, but that separation overall did not increase. We also find that Mincome reduced marital conflict associated with financial stressors and that some measures of wives’ bargaining power increased. Taken together, our results speak in favor of the view that a basic income has the potential to foster more equitable family lives.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.312
Teacher spread0.265 · 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 designNon-randomized trial
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

Citations41
Published2020
Admission routes2
Has abstractyes

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