MétaCan
Menu
Back to cohort
Record W1574174824

ON LIMITING THE DOMAIN OF INEQUALITY: THE LEGACY OF JAMES TOBIN

2003· article· en· W1574174824 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

VenueEastern Economic Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsBrock University
Fundersnot available
KeywordsPovertyPoliticsInequalityLimitingEconomicsRedistribution (election)Distribution (mathematics)Development economicsDemographic economicsPolitical sciencePolitical economyEconomic growthLaw
DOInot available

Abstract

fetched live from OpenAlex

The Keynesian macroeconomist James Tobin presented an ambitious program for social policy, sketched in the titles of "It Can be Done! Conquering Poverty in the US by 1976" (1967), "On Limiting the Domain of Inequality" (1970), "On Improving the Economic Status of the Negro" (1965), and "Raising the Incomes of the Poor" (1968). Tobin advocated means-tested cash transfers (negative income tax), to reduce poverty without interfering with market determination of relative prices (a position shared with Milton Friedman), paired with "non-market egalitarian distributions of commodities essential to life and citizenship" (education, food stamps, basic housing). The latter position contrasted with Friedman's Chicago school approach. Tobin's message continues to be relevant for reduction of poverty and inequality. Tobin's approach is contrasted with the neo-conservative analysis of the causes of poverty (exemplified by Herrnstein and Murray, but going back to Senior and Chadwick's Poor Law Report of 1834) that has been reflected in "the end of welfare as we know it".

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.043
GPT teacher head0.301
Teacher spread0.258 · 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