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Record W3216715925 · doi:10.3138/ttr.24.2.153

The Legitimacy of Inequality on Both Sides of The Atlantic. A comparative Analysis of Attitudes in Canada and Germany

2003· article· en· W3216715925 on OpenAlexaboutno aff
Heinz-Herbert Noll, Lance W. Roberts

Bibliographic record

VenueThe Tocqueville Review/La revue Tocqueville · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInequalityLegitimationSocial inequalityLegitimacyRelative deprivationSociologyEgalitarianismCompetition (biology)PoliticsPower (physics)Political sciencePolitical economyPositive economicsDemographic economicsEconomicsSocial scienceLaw

Abstract

fetched live from OpenAlex

All societies contain organized inequalities, although to a different degree. The amount of equality possible and beneficial for societal wellbeing and the magnitude of inequality tolerable, acceptable and required as a prerequisite for competition and growth are questions continuing at the centre of sociological as well as political debates. Inequality concems the differential allocation of resources and rewards between social locations. Since resources and rewards associated with social statuses are major determinants of opportw1ities available to status occupants, social inequalities reflect also differences in power, which affects both people's welfare and the respect they receive (Sennett 2003). Persans in inferior social locations are more likely to experience both deprivation and insolence; those in privileged positions relative comfort and admiration. The central importance of inequalities to life chances requires that such differences be legitimated. It creates problems for privileged and deprived groups, including tensions and conflicts within the society as a whole, if evident inequalities are perceived as illegitimate, unfair or unjust. Thus, social inequalities need continuons legitimation, which, however, can only come from abstract cultural scripts that need to be transformed into social nom1s and institutional mechanisms.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.053
GPT teacher head0.360
Teacher spread0.306 · 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.

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

Citations9
Published2003
Admission routes1
Has abstractyes

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