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Record W1935457364 · doi:10.1080/14672715.2013.758823

“WHAT DOES IT MEAN TO BE A MARXIST?”

2013· article· en· W1935457364 on OpenAlexaboutno aff
Jan Myrdal

Bibliographic record

VenueCritical Asian Studies · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsMarxist philosophyCommunismEmancipationGovernment (linguistics)ConversationHistoryMedia studiesSociologyPolitical scienceLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

The Hari Sharma Memorial Lecture series was instituted by the Dr. Hari Sharma Foundation for South Asian Advancement in memory of Hari Sharma, who left his estate to the Foundation when he passed away in 2010. The purpose of the series is to present scholars and writers who have made a significant contribution to the struggle for emancipation in South Asia. The first lecture in this series was presented by Jan Myrdal, one of the most prominent Swedish writers, a life-long Marxist, and for many years a friend of Hari Sharma. Myrdal wrote his first book on India, India Waits, after his visit to the “disturbed areas” of Andhra as a guest of C.P. Reddy in 1980. He visited Dandakaranya in 2010 at the invitation of the Communist Party of India (Maoist) and wrote about his conversation with the leadership of the party in Red Star over India: Impressions, Reflections and Discussions When the Wretched of the Earth Are Rising (Kolkata, 2012). Following his speaking tour after the book's release in Kolkata, Myrdal was banned from visiting India by the Government of India. The 2012 Hari Sharma Memorial Lecture was held at the Vancouver Public Library in Vancouver, B.C., Canada, on 17 November 2012. (Note: Hari Sharma was a longtime member of the editorial board of Critical Asian Studies.)

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)0.006
metaresearch head score (Gemma)0.011
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 score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.039
Scholarly communication0.0130.010
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.066
GPT teacher head0.285
Teacher spread0.219 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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