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Record W4380089630 · doi:10.38080/crh.2023.05.143.267

Outsiders of Meritocracy: Incompetence and Métis

2023· article· en· W4380089630 on OpenAlexaboutno aff
Yunjeong Joo

Bibliographic record

VenueCritical Review of History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsMeritocracyDemocracyEugenicsSociologyLawHuman rightsCivil libertiesPolitical scienceLaw and economicsPolitics

Abstract

fetched live from OpenAlex

The myth of meritocracy is based on the idea that those with the ability will succeed in society and be justly rewarded. However, the educational and professional worlds in which traditional meritocracy operates are not open to everyone or without any barriers. ere are numerous obstacles to entry, which are not simply determined by an individual’s “abilities” and aptitudes, but by cultural and spatial restrictions in addition to legal and institutional restrictions. Especially in Korea, with the introduction of modern laws, certain people with disabilities were labeled as incompetent and faced numerous restrictions. These restrictions led to preferential treatment, restrictions on occupational and academic qualications, and eugenic restrictions. Those who were socially incapacitated but perceived as dangerous, such as the mentally disabled and vagrants, were actively segregated from society, making it impossible for them to enter the meritocratic arena, and they relied on métis, not technology, for their collective survival. As Korean society entered the international community, many anti-human rights regulations were gradually abolished, and as society’s democracy and human rights awareness increased, some of these restrictions were removed through the New Civil Code, the process of building a democratic society, and the struggle for the rights of people with disabilities. People whose abilities were restricted by law have begun to enter a social arena where they can fulfill their abilities through past social struggles, international norms, and social democracy.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.779

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.073
GPT teacher head0.392
Teacher spread0.319 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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