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Record W2981760057 · doi:10.17742/image.ccn.6-2.3

TOWARDS A NEW CARIBBEAN CINEMA? AN INTERVIEW WITH JAMAICAN FILMMAKER STORM SAULTER

2016· article· en· W2981760057 on OpenAlexvenueno aff
Emiel Martens

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsFilm directorMovie theaterFilmmakingContext (archaeology)Art historyVisual artsHistoryMedia studiesArtSociologyArchaeology

Abstract

fetched live from OpenAlex

Storm Saulter (www.stormsaulter.com) is a Jamaican filmmaker, photographer, and visual artist. He is best known for directing the award-winning Jamaican feature film Better Mus’ Come (2010) and for co-founding New Caribbean Cinema, a DIY (Do It Yourself) collective of young filmmakers in Jamaica and the wider Caribbean dedicated to creating a new wave of Caribbean filmmaking (www.newcaribbeancinema.com). Together they have already produced a series of short films under the title Ring di Alarm(2012), which was shown around the world before coming home to packed theatres in Kingston in August 2014. In the following interview, which took place via Skype on November 12, 2014, Storm Saulter talks about his career as a filmmaker in Jamaica and discusses his work in the context of Caribbean cinema and society.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.270
Threshold uncertainty score0.536

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0340.008
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0070.001

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 head0.066
GPT teacher head0.430
Teacher spread0.365 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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