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Record W2735593515 · doi:10.1177/0262728015615486

Hindi, Urdu or Hindustani? Revisiting ‘National Language’ Debates through Radio Broadcasting in Late Colonial India

2016· article· en· W2735593515 on OpenAlexaff
Shobna Nijhawan

Bibliographic record

VenueSouth Asia Research · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsHindiUrduLiterary languageNational languageHistoryLinguisticsMedia studiesSociology

Abstract

fetched live from OpenAlex

Asking how the nationalist intelligentsia and Hindi literati sought to interact with and shape the new medium of radio in a period of time that witnessed the establishment of All India Radio’s Lucknow station in 1938, this article embeds colonial discussions of radio broadcasting into the cultural, literary and linguistic debates over Hindi, Urdu and Hindustani. The vibrant debate on the standardisation of Hindi, set against the background of All India Radio policies, is discussed from the perspective of those literary actors and institutions that envisioned diverse oral forms of Hindi and Hindustani for the rural and urban population residing in the Hindi belt and the rest of India. In addition, the article compares the radio broadcasting language to other contributions published in Hindi to show how languages operated not only in parallel but also in intersecting literary spheres. The article shows that language debates over radio broadcasting functioned as a site to probe the flexibility of what was to be officially projected as the language of the nation-to-be.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.028
Scholarly communication0.0140.004
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.112
GPT teacher head0.356
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2016
Admission routes1
Has abstractyes

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