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Record W3123256249

What makes a revolution

2001· preprint· en· W3123256249 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEconstor (Econstor) · 2001
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsnot available
Fundersnot available
KeywordsInequalityEconomic inequalityEconomicsQuarter (Canadian coin)Property rightsPanel dataCornerstoneDemographic economicsEconometricsMicroeconomicsGeographyMathematics
DOInot available

Abstract

fetched live from OpenAlex

A fundamental requirement of market economies is the security of ownership
\nclaims to property. Yet history is littered with cases of challenges to these
\nclaims. A large literature has found contradictory evidence for the effect of
\nincome and income inequality on revolt, possibly due to omitted variable bias.
\nThe primary innovation of the paper is to tackle this problem in two ways.
\nFirst, it introduces a new panel data set derived from surveys of revolutionary
\nsupport across one-quarter of a million randomly sampled individuals. This
\nallows one to control for unobserved fixed effects. Second, the estimated
\nregressions are based on a choice-theoretic model of revolt that also helps us
\nto choose an instrument set. After controlling for personal characteristics,
\ncountry and year fixed effects, more people are found to favor revolt when
\ninequality is high and their net incomes are low. An increase in inequality
\nequivalent to a shift from Belgium to the US is predicted to increase support
\nfor revolt by 6.3 percentage points. An increase in net income of $US 3330 (in
\n1985 constant dollars) decreases revolutionary support by the same amount.
\nThe results indicate that ‘going for growth’ can buy a nation out of revolt.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.031
GPT teacher head0.226
Teacher spread0.195 · 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