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Record W2000674487 · doi:10.1111/pech.12114

Dramatic Protests, Creative Communities: <scp>VVAW</scp> and the Expressive Politics of the Sixties Counterculture

2015· article· en· W2000674487 on OpenAlexfundno aff
Ryan J. Kirkby

Bibliographic record

VenuePeace &amp Change · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCounterculturePoliticsScholarshipExpansiveSociologyMedia studiesCitizen journalismContext (archaeology)AestheticsPolitical scienceLawHistoryArt

Abstract

fetched live from OpenAlex

This article locates the Vietnam Veterans Against the War (VVAW) within the context of the sixties counterculture. More specifically, it explores how VVAW's membership adopted an expansive definition of politics that relied on cultural forms such as guerrilla theater and community activism to convey their antiwar message. In the past, scholars have subdivided sixties protest into the categories of “expressive” and “instrumental” activism. This essay adds to the growing scholarship of the “long sixties” and challenges the division of protest into these two categories using VVAW to reveal the porous nature of cultural/expressive and political/instrumental activism. It illustrates how activists took advantage of this cross‐pollinating tendency to cultivate creative forms of protest that transcended the narrow boundaries separating hippies from politicos, and how VVAW's cultural politics gave rise to a unique antiwar veterans' culture premised on dramatic street theater, experimental self‐healing, and a deep suspicion of centralized authority.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.015
Scholarly communication0.0070.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.089
GPT teacher head0.307
Teacher spread0.218 · 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 designQualitative
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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

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