Autistic Autobiographies and More-Than-Human Emotional Geographies
Bibliographic record
Abstract
This paper draws on an analysis of forty-five published autobiographical accounts of individuals with an autistic spectrum disorder (ASD) to highlight the important role of their, often intense, emotional relations to ‘natural’ things and places. In doing so, it offers a partial corrective to clinical and popular views of people with autism as almost entirely asocial and unconcerned with the beings and doings of others. A textual hermeneutic of the phenomenal insights reported by authors reveals instead that their personal geographies are characterized by rich, rewarding, and meaningful relationships with the wider more-than-human world, and that aspects of their lives can be undeniably, agreeably, ‘social’ in this broader sense. Such an analysis may offer important, albeit methodologically limited, insights into experiences of ASD while also challenging dominant understandings of ‘sociality’—in the sense of ‘being-with-others’—and of emotional involvement, that focus entirely on interactions between human beings. Indeed, to some extent, these emotionally charged experiences of the ‘natural’ world resonate with the feelings of many more neurotypical individuals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".