Bibliographic record
Abstract
Inspired by Of Hospitality, which consists of two texts on facing pages by Anne Dufourmantelle and Jacques Derrida, Erin Soros and Richard Ingram collaborated to hone in on an aporia in Dufourmantelle and Derrida’s meditation on hospitality. The writing of this collaborative work took place through hospitality: the authors invited each other into their homes, and altered the texts of the host, rendering thresholds porous and troubling the ways in which madness is circumscribed and contained. Why are some forms of asylum considered and others only to be passed over? In the present article, Erin Soros uses Derrida to critique the madness of Ontario and British Columbia’s mental health acts, in which rights are stripped from the Mad through a system of carceral psychiatry and a logic that is haunted by its own madness. In a companion text (to be published in TOPIA 44), Richard Ingram focuses on two aspects of Derrida’s topology of hospitality, addressing the acts of letting madness into a dwelling and letting madness into the mind.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.046 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".