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Record W2981027455 · doi:10.14507/epaa.27.4377

Children’s accounts of labelling and stigmatization in private schools in Delhi, India and the Right to Education Act

2019· article· en· W2981027455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEducation Policy Analysis Archives · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsWestern UniversityUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDisadvantagedCasteCitizen journalismEquity (law)Inclusion (mineral)SociologyPsychologyGender studiesPedagogyEconomic growthPolitical scienceLaw

Abstract

fetched live from OpenAlex

India’s Right of Children to Free and Compulsory Education Act, 2009 compels private schools to reserve a proportion of their seats for free for disadvantaged children. Although controversial, it is idealized as an equity measure for inclusion in and through education. This small-scale study, feeding into a larger research project, details children’s accounts of their everyday lived experiences at private schools in Delhi. Children reported labelling students by teachers as ‘naughty’ or academically ‘weak’ or ‘incapable’ as a pervasive practice. These ‘designated identities’ (Sfard & Prusak, 2005) were reinforced by teachers and through peer interactions. They were internalized by participants about their peers and affected how they interacted with them. Peers who were labelled were reported to be stigmatized. Surprisingly, neither caste nor gender were mentioned as explicitly marking participant experiences. The paper also discusses the participatory methods employed in the study as a further contribution to the literature on private schooling. Data are from participatory ‘draw-and-talk’ sessions conducted with 16 children in 2015-16 from marginalized backgrounds, accessing six different private schools in one catchment area, half of whom secured a free private school seat. Participants were from amongst the first cohorts eligible for the free seats provision.

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.

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)0.000
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 score0.137
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.006
GPT teacher head0.315
Teacher spread0.309 · 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