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Minorities and majorities: a dynamic model of assimilation

2005· article· en· W1989237677 on OpenAlexvenueno aff
István Kónya

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismAssimilation (phonology)Melting potOutcome (game theory)Ethnic groupPopulationMinority groupPath (computing)EconometricsDemographic economicsEconomicsComputer scienceMathematical economicsSociologyDemographyPolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

Abstract. The paper analyses the population dynamics of a country that has two ethnic groups, a minority and a majority, and minority members can choose to assimilate into the majority. Depending on the minority's size, the long‐run outcome can be full or no assimilation. Under certain parameter values multiple equilibria exist, including the two extreme cases. The paper demonstrates that both the long‐run outcome and the equilibrium path may be inefficient. Two extensions to the basic model are considered. The first one allows for a comparison between a multicultural and a ‘melting pot’ society. The second one introduces population growth and studies the interplay between exogenous and endogenous changes in the minority's size. JEL classification: J110, J150, J180

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
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 score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.118
GPT teacher head0.172
Teacher spread0.055 · 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
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

Citations20
Published2005
Admission routes1
Has abstractyes

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