MétaCan
Menu
Back to cohort
Record W2993807019

Ghadar Movement: Har Dayal and His Ideological Formulations

2019· article· en· W2993807019 on OpenAlexaboutno aff
Rashid Manzoor Bhat

Bibliographic record

VenueThink India Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyMovement (music)ImmigrationHistoryPolitical scienceLawPoliticsArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Ghadar Party, which played a vital Role in the freedom struggle of India, was started as a Movement by Indian Immigrants on the West (Pacific) Coast of North America at the beginning of the First World War. About 8,000 of these immigrants, 95% of them Sikhs, left Canada and the United States of America for India, to free India from the British rule. They were led by intellectuals like Har Dayal and Sohan Singh Bhakna.  Har Dayal was the chief ‘Man of Words’ of the Ghadar movement. His ideological formulations were cast in the mould of a rather loose framework of ideas which prevailed among the Indian revolutionaries of that period. These may be drawn from his propaganda writings and his reflection in some of his articles, including the earlier ones reprinted by the Ghadar press. His leadership of the movement ended early. Ram Chandra who succeeded Har Dayal as the editor of the movement’s chief organ with an altered name of Hindustan Ghadar, functioned in a more or less similar ideological framework.

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)0.003
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.022
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.204
Teacher spread0.182 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThink India JournalSame topicIndian History and PhilosophyFrench-language works237,207