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Record W4321382269 · doi:10.1017/9781009329866.007

The Global Sixties and the Coming of Revolution

2023· other· en· W4321382269 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsMcGill University
Fundersnot available
KeywordsNationalismPolitical scienceChinaPoliticsEconomic historyDemocracyPolitical economyAdventureBattleSpanish Civil WarLawSociologyHistoryAncient history

Abstract

fetched live from OpenAlex

The popular upsurge of the sixties in Pakistan was a product of the interaction among global, regional and local politics. It was not a unilinear movement towards the rise of Bengali nationalism but, rather, several complex twists and turns in global and local politics, and the atmosphere of the global sixties transformed nationalist imaginings in East Pakistan. The image of Ayub Khan’s military-bureaucratic regime was seriously tarnished by his inability to wrest Kashmir from Indian control. Propaganda during the 1965 war had convinced the Pakistani people that they had emerged victorious from the war. Yet the Tashkent peace accord belied such claims. This resulted in popular anger at home as Ayub Khan could not explain why he had been unable to secure in Tashkent what he had claimed to have won on the battlefield. Meanwhile, the war also involved Ayub Khan’s regime in intense Cold War diplomacy. During the war, China had proclaimed open support to Pakistan while the US had stopped the supply of weapons to the latter as soon as the war started. However, after the war Ayub Khan moved closer to the US, since he knew that China could not meet the economic needs of his model of foreign-aid-driven praetorian capitalism. He also compelled the long-time member of his kitchen cabinet, the pro-Chinese Zulfiqar Ali Bhutto, to resign. Bhutto raised the banner of revolt on the high moral ground of independence for Kashmir, installation of parliamentary democracy and policies tuned towards Islamic socialism. It was a timely move on Bhutto’s part. Consequently, divisions appeared among the ruling elites of Pakistan, and Ayub Khan became estranged from the very institution that had supported him, namely the army. As the ruling elites became fragmented, the war unleashed inflationary pressure on the economy, and people embarked on protests. Glaring class inequality and regional imbalance fuelled unrest. Soon global revolutionary waves hit Pakistan. George Katsiaficas, a participant social historian of the global 1968, calls this the ‘eros effect’ of the global wave of revolution. The eros effect refers to the movement of transnational waves of transformative social movements. During this moment, popular social upheavals dramatically challenged established social orders, and the basic assumptions of patriotic nationalism.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.016
Scholarly communication0.0100.007
Open science0.0010.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0180.002

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 head0.016
GPT teacher head0.296
Teacher spread0.280 · 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
GenreOther

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

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