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Record W2954764340 · doi:10.4324/9780429497896-23

Models of Pluralism

2019· book-chapter· en· W2954764340 on OpenAlexaboutno aff
Milton M. Gordon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMinority Rights and Languages
Canadian institutionsnot available
Fundersnot available
KeywordsPluralism (philosophy)EpistemologyPhilosophySociology

Abstract

fetched live from OpenAlex

This chapter analyzes alternative theoretical models of pluralism in somewhat systematic form. Theoretical models are: liberal pluralism and corporate pluralism. The chapter presents six dimensions with which to compare and contrast the two theoretical types of racial and ethnic pluralistic societies. These are: legal recognition and differential treatment; individual meritocracy and equality of opportunity versus group rewards and equality of condition; structural separation; cultural differences; area exclusivism; and institutional monolingualism versus institutional bilingualism or multilingualism. The large growth in numbers and political activism of the Hispanic population in the United States and the consequent demand for bilingual education in the public schools have brought aspects of this issue to the fore in the American context. In widely varying degree, nations like Belgium, the Netherlands, Switzerland, Canada, the Soviet Union, and Lebanon contain some aspects of a corporate pluralism model. In liberal pluralism, government gives no formal recognition to categories of people based on race or ethnicity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.020
Scholarly communication0.0070.008
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.041
GPT teacher head0.283
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same topicMinority Rights and LanguagesFrench-language works237,207