Scholar-Activist? On Relational Accountability and an Ethic of Dissemination
Bibliographic record
Abstract
Your writing is so important to us. It gives us hope. To know that someone who is not a Rwandan understands the country like we do is a gift. You are a true activist because you are not afraid to say what so many Rwandans cannot say – that the RPF has politicized the genocide and our history. Thank you for your work. Please keep writing. We need more foreigners to be a ‘voice of the voiceless’. – Rwandan human rights activist, introducing me at an event in Canada, April 2011 BEFORE I PUBLISHED my first book in 2013, dissident Rwandans living in parts of Europe, Canada, and the United States saw me as a scholar-activist. I was ‘true’ because they thought that my research findings – which critiqued the post-genocide policy of national unity from the perspective of thirty-seven rural poor – overlapped with their political aspirations to unseat the current government. They saw me as an activist because I used my academic platforms to share my findings with non-academic audiences through media interviews, opinion editorials, and from 2010, via social media platforms such as Twitter. While the mantle did not sit well with me, I did not challenge their framing of my scholarship as ‘activist’. Indeed, as a white academic raised and educated in Canada, I did not give my activist standing a second thought, even as I spent time working with Rwandans in the diaspora, helping them write press releases and policy briefs on political issues of importance to them, and later, writing affidavits to support the asylum applications of Rwandans seeking to leave the country. Others considered me an ally because the government had shuttered my research in August 2006, claiming it was against ethnic unity. The Ministry of Local Government officials soon ordered me to participate in a citizenship re-education camp, something I did to protect the identities of the rural people I consulted as part of my project (Thomson 2009a; Thomson 2011). When Rwandans in the diaspora learned about my forced re-education, many expressed dismay upon learning that I had been treated roughly ‘like us [dissenting] locals’, and that I now knew what ‘it felt like to be a target of the government’. I failed to fully appreciate what my experience of being forced to leave Rwanda meant to them, and how this shaped their expectations of me.
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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 | 0.063 | 0.108 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.078 |
| Scholarly communication | 0.034 | 0.041 |
| Open science | 0.003 | 0.027 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".