Moving forward: a call for Critical ADHD Studies
Bibliographic record
Abstract
Highly effective early autistic activism gave considerable impetus to changes in the way autism research is conceived and carried out, notably through Critical Autism Studies (CAS). Little, though, has been similarly formalised challenging pathology-driven views of other forms of neurodivergence in research. However, there are increasing signs that this is changing, perhaps most particularly concerning ADHD. Here, we propose a tentative outline for what a Critical ADHD Studies – drawing on, bleeding into, and yet retaining its own specificities from both CAS and emergent Neurodiversity Studies – might resemble. This is neither a gate-keeping exercise nor a definitive mapping out of a field. Neither is ‘critical’, here, concerned with discussion of the validity of ADHD diagnoses. Rather, we seek points of intersection and of potential ally-ship, pulling together approaches centring ADHD lived experience, depathologisation, and ADHD affirmative world-making with related fields such as CAS and Neurodiversity Studies.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".