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Record W3125125594 · doi:10.29173/cjs17001

Comparing Minority and Human Rights Discourse in Social Science Textbooks: Cross-National Patterns, 1970-2008

2014· article· en· W3125125594 on OpenAlexvenueno aff
Patricia Bromley

Bibliographic record

VenueThe Canadian Journal of Sociology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsUniversality (dynamical systems)GlobalizationSociologyMinority rightsSocial scienceCitizenshipContradictionPolitical scienceSocial rightsFundamental rightsLawEpistemologyPolitics

Abstract

fetched live from OpenAlex

Over the twentieth century the celebration of both human rights and the rights of minorities have become central features of an emerging world culture. Although related in some respects, ideas of human and minority rights differ in their fundamental conception of society as made of either heterogeneous social groups or universally equivalent individuals. I posit that the contradiction between universality and diversity in world culture leads to divergent patterns of diffusion into nation-states and provide evidence of this trend. The data consist of 523 high school social science textbooks from 74 countries published between 1970 and 2008 coded for content relevant to human and minority rights. Using multilevel modeling, I find that increases in minority rights discussions occur mainly in stable democracies, in contrast to a worldwide rise in discussions of human rights. These findings contribute to studies of globalization, education, and minority and human rights by documenting the spread of global models of citizenship into national education systems and identifying limits to the diffusion of global principles.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.006
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 head0.122
GPT teacher head0.417
Teacher spread0.295 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations41
Published2014
Admission routes1
Has abstractyes

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