Bibliographic record
Abstract
In North America, 64% of adults and 25% of children are overweight or obese. We are bombarded by food; it is everywhere we turn. People with Prader-Willi syndrome (PWS) are an untapped expertise in combatting this problem. People with this genetic disorder gain approximately 20-30% more weight on 50% less calories, and are driven to eat. The traditional approach to this syndrome was to lock up all food, and control, restrict, and supervise all activity. While people with PWS were kept alive, they had no quality of life. Today, there are leaders within the PWS community who are taking cutting-edge approaches to combating both health and quality of life issues. Their secrets are revealed within this book. It is a must-read for anyone seeking: a new approach to societal health and wellness; an answer to weight maintenance for themselves or someone they love, and/or; a means of supporting persons with disabling conditions such as PWS and beyond to achieve meaningful, healthy lives.This book explores health and wellness, with an emphasis on food drive, as well as disability culture, through the voices of self-advocates with PWS and families. It should be read by:• Parents of all children (disabled and not) who want to instill positive, healthy food practices.• Adults who have attempted diets and still not lost the weight. Adults who are seeking an alternate approach.• Doctors and other medical professionals who seek continuing education.• Teachers who are negotiating the balance between organic and teachable conditions.• Self-advocates with disabling conditions who want to explore their own personal voice through the voices of others experiencing stigma and oppression.• Family members of persons with disabling conditions who want to affirm their experiences and interpretations and learn how to navigate the systems.• Government administrators who want to inform their funding allocation.• Extended family, friends, and the public-at-large who want to understand disability and reexamine their attitudes.• Human service workers who want to know how best to support persons with disabling conditions and how to listen to families.• Anyone who wants to know about Prader-Willi Syndrome.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.203 | 0.141 |
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".