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Record W4407751789 · doi:10.33178/alpha.28.01

Decolonising through co-curation? Women creators of the future, Festival Films Femmes Afrique and Leeds International Film Festival

2025· article· en· W4407751789 on OpenAlexfundno aff
Rachel Johnson

Bibliographic record

VenueAlphaville Journal of Film and Screen Media · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersGovernment of CanadaUniversity of Regina
KeywordsFilm festivalDocumentary filmMedia studiesArtVisual artsSociology

Abstract

fetched live from OpenAlex

Amidst calls from Decolonise and Black Lives Matter movements, several film festivals are engaged in the beginnings of a “reorientation,” a shift in their understandings of, and relationships to, colonial power structures. Considering decoloniality as a plural process rather than a singular endpoint, this article examines a recent example of such reorientation: Women Creators of the Future is a programme of films made by women of African heritage, co-curated by Festival Films Femmes Afrique (Senegal) and Leeds International Film Festival (UK). Taking its inspiration from a previous Films Femmes Afrique programme of the same name, this initiative constitutes a meeting of festival “worlds” that tells us much about burgeoning processes of decolonisation in cultural organisations. Combining fieldwork with interviews and self-reflexive analysis, I trace the complex relationships between curation, funding, placemaking and labour that underpinned the collaboration. I argue that this meeting of two contrasting festivals illuminates emerging practices of decolonising through co-curation, yet also invites us to reflect on the need for practices that more fully address both epistemic and economic injustice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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