Bibliographic record
Abstract
In this performance I share five portrait poems that emerged from my time as a researcher in Lobito -one of Angola's most dynamic cities. Portrait poems are my way of capturing the insights that came from mutual glances, mutual framing within the cellphone lens, from the motorbike seat, in a glance on the road, in dialogue.Using English, Portuguese and Umbundu, they demand that Lusophone Africa also be attended.In their articulation of the guessed, the judged, the desired in ethnographic practice, they make demands of freedom of speech and thought in Angola despite the fear of water and light being "cut" by government spies.Equally, they call for freedom of speech and thought in academia that goes beyond ideational games played for funding, the ranking of ideas, the insistence on a hierarchy of language and citational practice that leaves the Lusophone unheard (except by millions).They ask 'if someone is seen but does not count as Evidence, is she real?'They ask 'What is sustainable about the future, if the present has not been witnessed?'They ask 'How are dreams and nightmares experienced right now, by the researcher as well as the researched?How is the individual seen?' Como vai?What's happening here?The images I will include give the context of the space and allow the audience to be visually present.The spoken Portraits bring to life those who are absent from the scene: child, old man, young woman, vendor, migrant.Let them be heard, and here. Sufi Hip-Hop and the Aesthetics of Islamic Authority in DakarJoe Hill (University of Alberta)We've been asked to highlight innovation in Africa.In Islamic contexts, calling someone an "innovator" can be the worst sort of accusation.But historical transformations constantly require Muslims ask which-not whether-innovations are acceptable.What do Islamic texts say about the radio?What about cell phones, and hip-hop?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.029 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".