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Record W4390081109 · doi:10.1177/27538702231221859

The ethnographic B movie: Centering the uncertain, absurd and low quality in collaborative filmmaking

2023· article· en· W4390081109 on OpenAlexaff
Jared Epp

Bibliographic record

VenueDIY Alternative Cultures & Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsFilmmakingEthnographyNarrativeSociologyAbsurdityAestheticsContext (archaeology)Meaning (existential)Visual artsEpistemologyMedia studiesArtHistoryAnthropologyLiteraturePhilosophyMovie theater

Abstract

fetched live from OpenAlex

This paper discusses an experimental modality of ethnographic filmmaking that my interlocutor/collaborator and I came to call the ‘ethnographic B movie’. I explore what I mean by the term and describe its use as novel approach to collaborative multimodal research. I argue that this approach – which encourages unprofessionalism, low quality, absurdity and caprice – provides an opportunity to centre research contexts, ontologies and epistemologies on the fringes or margins of conventional anthropological content, thought and context. Through situating the approach within ideas of arts-based research or research-creation the ethnographic B movie becomes a way to take the process of filmmaking as ethnography for the sake of an open and co-imaginative world. In the ethnographic B movie as filmic approach and representational frame, communicable meaning and narrative coherence are substituted for the spirit of co-creation, and interlocutor-driven content.

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)0.011
metaresearch head score (Gemma)0.021
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 score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.019
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.456
GPT teacher head0.634
Teacher spread0.178 · 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
Published2023
Admission routes1
Has abstractyes

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