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Record W7111620968

Resistant Imagery in Struggles for Justice

2023· book-chapter· en· W7111620968 on OpenAlexaff

Bibliographic record

VenuePure (Coventry University) · 2023
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsWitnessMovie theaterRefugeeEconomic JusticePoliticsState (computer science)Documentary film
DOInot available

Abstract

fetched live from OpenAlex

Migrant Media is a collective of migrant, black and refugee film activists established in 1991. The struggles of race and class are at the core of their resistance-based documentary film-making and a dominant thread in their work is around campaigns for justice by the families of people killed by the police in the UK. They employ the techniques of Third Cinema to incite political change through a provocative strategy of deconstructing established narratives. As Getino and Solanas (1971) state: “Every image that documents, bears witness to, refutes or deepens the truth of a situation is something more than a film image or purely artistic fact; it becomes something which the system finds indigestible.” In this spirit Migrant Media challenges conventional documentary, adopting a position of the filmmakers as the gatherers of resistant imagery. This documentary practice is a radical approach in confronting dominant media and state narratives. Resistance, from a community perspective, is documented over 3 decades, employing a “documentary of force” research method.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.010
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.049
GPT teacher head0.203
Teacher spread0.154 · 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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