Review of Autistic Disturbances: Theorizing Autism Poetics from the DSM to Robinson Crusoe, Julia Miele Rodas (2018)
Bibliographic record
Abstract

 
 
 Julia Miele Rodas offers Autistic Disturbances: Theorizing Autism Poetics from the DSM to Robinson Crusoe as a tome of resistant literary praxis. So that we might allow ‘disordered’ to claim poetic voice- that we might recognize the celebration of this voice in our culturally treasured texts, and rather than require retroactive diagnosis, we simply allow these voices to be recognized as worthy- and Autistic. At last, a text which explores autistic language: allowing for its ironies without claiming it to be paradoxical; giving shape to its cultural consistencies without constraining it to a pathologized rigidity; allowing for both meaning where a reader might suspect none and none where a reader might insist on inserting one; and all while refusing to stigmatize, pathologize, medicalize, problematize, or even to diagnose.
 
 
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".