Coalition-In-Progress
Bibliographic record
Abstract
For institutional survivors and their younger peers labelled/with intellectual disability, the COVID-19 pandemic and its related lockdowns carry over past experiences under government-directed isolation and mandatory medical interventions. The sudden convergence of past and present necropolitical ableism in labeled persons' lives colours this crisis, as we—a group of survivors, younger labeled people (who have not lived in institutions), and researcher/allies—attempt to simply stay in touch amid digital divides that cut off our once vibrant, interdependent in-person activities. No longer able to gather, and with limited Internet (or no) access, we resist social abandonment through phone calls. During phone conversations we discuss the affective contours of this time: grief over the past, loss of agency, restrictive rules in group homes, the dynamics of protest, fear sparked by public health orders, and a mix of anxiety and hope about the future. Taking this telephone-based dialogue as evidence of our lives in these times, we present a brief body of collectively written found poetry, a form of poetic inquiry composed of phone call snippets. This piece, coauthored by twenty members of the 'DiStory: Disability Then and Now' project in Toronto, Canada, offers a snapshot of coalition-in-process, keeping in touch amid a crisis that threatens our togetherness and—for some more than others—our lives. Following Braidotti, we couch this found poetry in a brief commentary on our slow, in-progress attempt to 'co-construct a different platform of becoming' with one another amid a divergence of historical and contemporary inequities.
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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.003 | 0.024 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.197 | 0.058 |
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".