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Record W6907641087 · doi:10.24385/lincoln.26049151.v1

Episode 4: MAP Rwanda: “We are drummers"

2024· other· en· W6907641087 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPrincipal (computer security)DrumGirlSet (abstract data type)Performance art

Abstract

fetched live from OpenAlex

Episode 4 focuses on MAP activities in Rwanda, specifically on a medium grants project: “Gira Ingoma – One Drum Per Girl.” MAP’s Principal Investigator, Prof. Ananda Breed, whom we spoke to in Episode 1, interviews artist and project founder Gakire Katese Odile about this fascinating project and how it aims to address persistent gender stereotypes and discriminatory norms that prevent girls in Rwanda from engaging in non-traditional activities/roles in the creative and cultural industries.This episode focuses on MAP activities in Rwanda, specifically on a medium grants project: “Gira Ingoma – One Drum Per Girl.” MAP’s Principal Investigator, Prof. Ananda Breed, whom we spoke to in Episode 1, interviews artist and project founder Gakire Katese Odile about this fascinating project and how it aims to address persistent gender stereotypes and discriminatory norms that prevent girls in Rwanda from engaging in non-traditional activities/roles in the creative and cultural industries. Subscribe to our podcast where we share with you what we know and things we would like to know more about the methods and approaches of this fascinating project. To learn more about this project visit MAP’s website map.lincoln.ac.uk. Follow us on X, previously Twitter, at @Mobile__Arts. Links: MAP website https://map.lincoln.ac.uk/@Mobile__Arts @ch_koula@Sherecita Music from: Composers and singers : Alexandre IteritekaMusic: Umuduri Band Producer :Frank TamariAnd from the Gira Ingoma Festivals set up by the project. Find out more about this project at: https://map.lincoln.ac.uk/map_project/gira-ingoma-one-drum-per-girl/ Watch the videos showcasing the activities and drumming: ’Ingoma Nshya’ Girls Drumming Festival, Kigali (6 May 2023): https://www.youtube.com/watch?v=tj3UHHJ3o7A Ingoma Nshya Drumming Festival 3 (30 December 2023) https://www.youtube.com/watch?v=nT5UyjAU3AsWoman Cultural Centre in Rwanda: http://www.womanculturalcentre.comBook of life project - https://vimeo.com/348091956 Trailer about the ‘Book of Life’ performance by VOLCANO, CANADA AND WOMAN CULTURAL CENTRE, RWANDA PRODUCTION https://w Book of Life performance at the ww.volcano.ca/the-book-of-life

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.003
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.007

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 head0.054
GPT teacher head0.295
Teacher spread0.240 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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