Autistic Autobiographies and More-Than-Human Emotional Geographies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it