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Record W7036951768

DECONSTRUCTING CASTE-BASED PRIVATE DISCRIMINATION: COMPARATIVE EXAMINATION OF INDIA AND CANADA

2023· dissertation· en· W7036951768 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsnot available
Fundersnot available
KeywordsCasteConstitutionState (computer science)Scope (computer science)Statutory lawConstitution of IndiaHierarchyAffirmative actionSocial rightsFundamental rights
DOInot available

Abstract

fetched live from OpenAlex

"Caste" is a rigid system of social hierarchy marked by deep-rooted divisions. These divisions are upheld through patriarchal and heteronormative practices, often enforced through the looming threats of social ostracism, economic boycotts, and physical violence, which also infringe upon the rights guaranteed by the Constitution of India. While numerous legal judgments and legislations have concentrated on mitigating caste-based discrimination by state authorities and individuals in public spaces, significantly less attention has been directed towards caste discrimination in private spheres, referred to as private discrimination. Despite explicit constitutional provisions that prohibit private discrimination and enable individuals to take legal action against others for such transgressions, the courts have demonstrated hesitance in enforcing fundamental rights against private individuals engaging in caste discrimination. Consequently, instances of private discrimination endured by Dalits and Other Backward Classes have remained mainly outside the scope of legal protection. This thesis employs a critical caste theory framework arguing for the regulation of caste discrimination pertaining to various aspects, such as employment, marriage, housing, dining, and general social interactions. To provide a comprehensive analysis of these issues in the Indian context, this thesis explores the anti-discrimination legal framework in Canada related to private discrimination.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.221
Teacher spread0.187 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueScholarship at UWindsor (University of Windsor)Same topicStudy of Mite SpeciesFrench-language works237,207