“even if I must die I am saying I love you”: A Conversation between Phanuel Antwi and Yiannis Andronikidis about <i>On Cuddling: Loved to Death in the Racial Embrace</i> introduced by Sakiru Adebayo
Bibliographic record
Abstract
The interview, borrowing its title “even if I must die I am saying I love you” from a line in one of Phanuel Antwi’s poems, was conducted on the occasion of the experimental lit & performance festival The New Present Tense, organized by A) GLIMPSE) OF) and held between 22–23 November 2024 at the Feminist Autonomous Centre for research (FAC), in Athens, Greece. During the festival, Phanuel Antwi was invited to read excerpts from On Cuddling . This reading is echoed in the penultimate question of the interview, with the book itself forming the core around which thoughts are shared and from which they extend outwards, to include reflections that exceed its pages. The material gathered here is the result of ongoing conversations, online meetings, and exchanges between Antwi and Andronikidis from the time of the festival to the present. More specifically, the interview turns to the archival im/materialities Antwi engaged in writing the book, while focusing on “cuddling” in its manifold manifestations across private and public spaces-its softness and violences, its speeds, spreads, and tactilities, its cuteness and its intrusions, but also the different ways in which we are all ultimately implicated in the (re)production of the racial embrace. The conversation between Antwi and Andronikidis is introduced and contextualized here by Sakiru Adebayo, whose insightful reflections in “The Racial Embrace and Its Discontents: Notes on Phanuel Antwi’s On Cuddling (Pluto Press, 2023)” meaningfully sets the stage for the dialogue which unfolds.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".