MétaCan
Menu
Back to cohort
Record W4410535467 · doi:10.18272/rwq7b245

Mand/inga

2025· article· en· W4410535467 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuepost(s) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsYork University
Fundersnot available
KeywordsIngaMandMathematicsBiologyBotanyPsychology

Abstract

fetched live from OpenAlex

Mand/inga is an artistic research project that consists of creating a film from work with personal files and family stories, reviewing different documents of family scenes -objects, photos, dialogues, etc.-. In the process, we have reconstructed a series of short stories and descriptions that resonate with each other, and through which we can glimpse our common threads regarding issues such as religion, spirituality, gender, and migration. What we present as a film is, in fact, a temporary instantiation of an insistent re-creation of our memories and reflections. By continuously re-presenting the different situations in the space of an imagined film, we open a process of constant restructuring of our narrations. The text flirts with elements of autoethnography and self-theory, as well as formal experimentation inspired by feminist experimental cinema. We see it as a way of researching our possible ways of appearing as queer, colored, and migrant bodies, both politically and on a screen.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.789

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)0.0010.000

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 head0.006
GPT teacher head0.297
Teacher spread0.292 · 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