September 11: Monitoring of World Trade Center Health Effects Has Progressed, but Program for Federal Responders Lags Behind
Bibliographic record
Abstract
Testimony issued by the Government Accountability Office with an abstract that begins "After the 2001 attack on the World Trade Center (WTC), nearly 3,000 people died and an estimated 250,000 to 400,000 people in the vicinity were affected. An estimated 40,000 people who responded to the disaster--including New York City Fire Department (FDNY) personnel and other government and private-sector workers and volunteers--were exposed to physical and mental health hazards. Concerns remain about the long-term health effects of the attack and about the nation's capacity to plan for and respond to health effects resulting from future disasters. Several federally funded programs have monitored the physical and mental health effects of the WTC attack. These monitoring programs include one-time screening programs and programs that also conduct follow-up monitoring. GAO was asked to assess the progress of these programs and examined (1) federally funded programs implemented by state and local government agencies or private institutions, (2) federally administered programs to monitor the health of federal workers who responded to the disaster in an official capacity, and (3) lessons learned from WTC monitoring programs. GAO reviewed program documents and interviewed federal, state, and local officials and others involved in WTC monitoring programs. This statement updates information GAO provided to Congress on September 10, 2005."
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".