Transformer Man: An Exploration of Disability in Neil Young’s Life and Music
Bibliographic record
Abstract
This article begins with a short personal narrative of my own struggles growing up with a form of cerebral palsy (right hemiplegia), and the way music – and in particular Neil Young’s songs – provided a crucial emotional and cathartic outlet for me. I then examine Neil Young’s intimate personal connection with disability, including his own struggles with polio and epilepsy and his experiences raising his two sons Zeke and Ben, both of whom have cerebral palsy (one milder, one quite severe). I delve into many of Neil’s songs that either subtly or explicitly explore issues of disability and difference, such as Mr. Soul and Transformer Man. I conclude by recounting my experience attending the Bridge School Benefit, an annual concert put on by Neil and his wife Pegi to raise funds for the school they founded for disabled children. In sum, this article will attempt to capture something of the way in which Neil Young and other artists have created music that is both personally therapeutic and collectively empowering for members of the disabled community.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".