Unfolded Hands: Class Suicide and the Insurgent Intellectual Praxis of Mary Ann Shadd
Bibliographic record
Abstract
This essay is dedicated to the memory of Dr. Barbara Christian. On an afternoon in April 2000, one of the more remarkable convocation ceremonies of this year, or any year for that matter, took place at Antioch University’s graduation proceedings. The ceremony was noteworthy both for its choice of commencement speaker, Mumia Abu-Jamal (the former Black Panther Minister of Information currently sitting on death row in a US prison), and for the latter’s call to commit “class suicide” as the explicit theme of his address. Abu-Jamal states that this topic is in response to the graduating class’s “proposed query about an individual’s impact on the world” (Abu-Jamal and Kissinger 3). He names several figures (Nelson Mandela, Malcolm X, Ella Baker, W.E.B. Du Bois, Paul Robeson, and Angela Y. Davis) who should appear on any “logical” list of people we admire for having impacted our world. Abu-Jamal then locates the common and decisive characteristic of these figures neither in race nor in their shared commitment to leftist politics.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".