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Record W2470026333 · doi:10.1057/9781137535320_1

Neoliberal Frontiers and Economic Insecurity: Is Basic Income a Solution?

2016· book-chapter· en· W2470026333 on OpenAlexaboutno aff
Jennifer Mays, Greg Marston, John Tomlinson

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsWelfare stateCommodificationPovertyWageRedistribution (election)EconomicsWelfareLabour economicsPolitical economyDevelopment economicsPolitical scienceEconomyMarket economyEconomic growthLawPolitics

Abstract

fetched live from OpenAlex

Australia and New Zealand have similarities and differences in regard to their cultural, social, and economic makeup. Both countries share a colonial past, dispossession of the indigenous populations, and common features regarding the model of social protection that developed during the nineteenth and twentieth century. In comparative welfare state studies the two countries are often grouped together, along with the United States, Canada, and the United Kingdom, in what some scholars refer to as a “liberal welfare state” model. This welfare state model describes the strong preference for market-based solutions in meeting social needs (commodification), a residual safety net, and a punitive approach to poverty (Esping-Andersen, 2000; Grover & Piggott, 2013). Other scholars have suggested that the characterization of Australia and New Zealand as liberal welfare states downplays some unique characteristics and that it is more accurate to talk about Australia and New Zealand as having developed a “wage earner’s welfare state” (Castles, 1984). The notion of a wage earner’s welfare state emphasizes the central role given to high minimum wages in redistribution, a generous social wage, and a robust system of industrial rights. These aspects were supported by the substantial use of protective tariffs to bolster wage levels in manufacturing, urban service, and a strong concern with the regulation of labor supply through controlled migration (Castles, 1994).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.018
GPT teacher head0.205
Teacher spread0.187 · 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
GenreOther

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

Citations11
Published2016
Admission routes1
Has abstractyes

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