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Record W3161017715 · doi:10.1515/bis-2021-0005

Which Way Forward for Economic Security: Basic Income or Public Services?

2021· article· en· W3161017715 on OpenAlex

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.

Bibliographic record

VenueBasic Income Studies · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsBasic incomeWelfare stateEconomicsContext (archaeology)Social WelfarePublic economicsState (computer science)Social securityEconomic systemDevelopment economicsPolitical scienceMarket economyGeography

Abstract

fetched live from OpenAlex

Abstract Economic insecurity is an endemic problem across the rich countries of the Global North. What is the solution? This paper compares and contrasts two major proposals: the conventional welfare state package of public services and regulations versus a basic income. By comparing and contrasting these systems in three different contexts – a “nightwatchman” context, a neoliberal context, and a social democratic context – and carefully modeling the monetary equivalence between them, we are able to provide a more precise and compelling comparison of the two systems than has yet been accomplished. We evaluate the two systems on the basis of economic security as well as a number of other important criteria, including the economic well-being of oppressed groups, power, carbon emissions, the gender division of labor, free time, social stigma, and transformative potential. We find that without a welfare state background, services and regulations are generally preferable for most vulnerable groups. However, as the welfare state develops, into a neoliberal or a social democratic context, basic income becomes a generally superior option.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.073
GPT teacher head0.405
Teacher spread0.332 · 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