Ted Freeman and the Battle for the Injured Brain: A case history of professional prejudice
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 book recounts some experiences of young Australians with catastrophic brain injuries, their families and the medical system which they encountered. Whilst most of the events described occurred two to three decades ago they raise questions relevant to contemporary medical practice. The patients whose stories are told were deemed to be ‘unsuitable for rehabilitation’ and their early placement in nursing homes was recommended. In 2013, it is time to acknowledge that the adage of ‘one size fits all’ has no place in rehabilitation in response to severe brain injury. Domiciliary rehabilitation, when practicable, may be optimal with the alternative of slow stream rehabilitation designed to facilitate re-entry into the community. \n \nPatients’ families were impelled to undertake heroic carers’ commitments as a reaction to nihilistic medical prognoses. It is time for the Australian health care system to acknowledge those commitments, and the budgetary burden which they lift from the system by providing family members with support to retrieve career opportunities, most notably in education and employment, which have been foregone in caring. \n \nMedical attendants repeatedly issued negative prognoses which were often confounded by the patient’s long term progress. Hopefully, those undertaking the acute care of young people with severe brain injury will strive to acquire an open mind and recognise that a prognosis based on a snapshot observation of the patient, without any longer term contact provides a flawed basis for a prognosis. The story of these patients and of Dr Ted Freeman has wider implications.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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