MétaCan
Menu
Back to cohort

Lost at Sea or Charting a New Course? Mapping the Murky Contours of Cinéma-monde in Floating Francophone Films

2018· book-chapter· en· W2892155265 on OpenAlexaboutno aff
Michael Gott

Bibliographic record

VenueEdinburgh University Press eBooks · 2018
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)FrenchMovie theaterHistoryGenealogyArt historyArtHumanitiesGeographyArchaeology

Abstract

fetched live from OpenAlex

In order to demonstrate some of the multiple nodes that must be considered in any construction of a meaningful theory of ‘cinéma-monde’ (production, narrative, economic context; the migration of films, filmmakers, and actors), this chapter explores floating ‘francophone’ films. In these films, cinéma-monde is not mapped exclusively along the boundaries of French-speaking countries, regions, or zones, nor is it exclusively extra-Hexagonal<italic>.</italic> These ‘boat films’ are set on small vessels (<italic>L'iceberg</italic> by Dominique Abel, Fiona Gordon and Bruno Romy, 2005, Belgium) and freighters, which circulate goods but also people and languages – <italic>Diego Star</italic> (Frédérick Pelletier, 2013, Canada/Belgium), and <italic>Fidelio, l'odyssée d'Alice</italic> (Lucie Borleteau, 2014, France) – or narrate the perilous crossing by sea to European territory, as in <italic>Harragas</italic> (Merzak Alouache, 2009, Algeria/France) and <italic>La pirogue</italic> (Moussa Touré, 2012, France/Senegal/Germany). This chapter theorizes sea voyages for work and migration within the context of contemporary border theories, North-South migration debates, and cinematic production networks.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.067
GPT teacher head0.214
Teacher spread0.147 · 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 teacher head, not a consensus.

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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEdinburgh University Press eBooksSame topicCultural Identity and HeritageFrench-language works237,207