Bibliographic record
Abstract
In Quest of EquipoiseBonaventure Soh Bejeng Ndikung "Let us undertake an ethnomusicology of tears.I am after the frequency of NDN grievability.My hunch is that the pitch interrogates itself, like a hymn.What I know: a primal shout is a counter anthropological event, though unsustainable as a performance of politics.Does futurity have a sound?Does agelessness?What is a noiseless poetry?Utopia?When I fell in love, sound devoured itself-this is the hospitality of silence.Before Canada, there was an unfillable quiet.An ancestral chant not yet heard anew."Billy-Ray Belcourt, excerpt from "Fragments Ending With A Requiem" 1 "When silence is Abdication of word tongue and lip Ashes of once in what was …..Silence Song word speech Might I…like Philomena …sing continue over into ….… pure utterance" Marlene NourbeSe Philip, excerpt from "She Tries Her Tongue…" 2 1 Billy-Ray Belcourt: NDN Coping Mechanisms.Notes from the Field. 2 Marlene Nourbese Philip: She Tries Her Tongue, Her Silence Softly Breaks.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.026 | 0.009 |
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".