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Record W2604915708 · doi:10.3138/cjfs.24.2.51

Militant Third World Film Distribution in the United States, 1970-1980

2015· article· en· W2604915708 on OpenAlexvenueaboutno aff
Jonathan Buchsbaum

Bibliographic record

VenueCanadian Journal of Film Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicCinema History and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsMilitantFilmmakingCONTESTMovie theaterFilm industryDissentLatin AmericansFilm studiesPoliticsMedia studiesArtPolitical scienceArt historySociologyLaw

Abstract

fetched live from OpenAlex

In the second half of the 1960s, as the anti-Vietnam War movement gathered force, New Left activists also turned to militant filmmaking. After the formation of Newsreel collectives in 1967, New York Newsreel changed its name to Third World Newsreel in 1971 to reflect the influence of the “internal colony discourse,” referring to the oppressed people of color in the U.S. But TWN concentrated on filmmaking and distributing its own films. A proper distribution company formed to early in the 1970s to disseminate the stunning militant films produced in Latin America during those years. The Third World Newsreel Group soon changed its name to Tricontinental Film Center, based in New York and San Francisco, and distributed the films of Jorge Sanjinés, Fernando Solanas and Octavio Getino, Tomás Gutiérrez Alea, Humberto Solás and many others as part of a commitment to contest repressive regimes throughout the hemisphere and challenge the blockade of films from Cuba. This explosion of cinematic activism in the U.S. peaked just at the time of the Montréal Conference on New Cinema in 1974. With the wave of political repression sweeping the region in the second half of the decade, and the shrinking of the non-theatrical market in the U.S. linked to technological changes in media production, the activism around the distribution of these films waned.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.108
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.003

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 head0.082
GPT teacher head0.261
Teacher spread0.180 · 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

Citations27
Published2015
Admission routes2
Has abstractyes

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