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Record W4232819501 · doi:10.1163/2031356x-03102011

Mediating Matonge: Relocations of Belgian Postcoloniality in Four Films

2018· article· en· W4232819501 on OpenAlexaboutno aff
Karel Arnaut

Bibliographic record

VenueAVRUG-bulletin/Afrika Focus · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeSituatedGender studiesNeighbourhood (mathematics)SociologyQuarter (Canadian coin)InequalityHistoryPolitical scienceArtLiteratureArchaeology

Abstract

fetched live from OpenAlex

In this paper I look at the Matonge neighbourhood of Brussels as a locus of postcolonial and diasporic imagination and activism by different groups and individuals most notably people who identify as Africans, Belgians with African roots, or ‘Black’ in Belgium. Within a longer historical narrative that starts in the late 19th century, I focus on the period beginning in the late 1980s when new migrational flows from Africa and other southern countries into Brussels make the Matonge quarter increasingly visible in an otherwise hesitantly globalizing Belgian/European metropolis. This issue is taken up by several filmmakers who, over the last thirty years, have situated their critiques of the Belgian postcolonial condition in ‘Matonge’. In this paper I briefly present four of these films in order to illustrate the ways in which ‘Matonge’ features in changing discourses concerning inequality, cultural affirmation, and diasporic activism.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.010
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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