Auditing the cost effectiveness of radon mitigation in the workplace
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
Radon is a natural gas which can build up underneath buildings. The International Agency for Research on Cancer has found sufficient evidence to classify radon as harmful to human beings. The National Radiological Protection Board has identified areas in the United Kingdom where radon levels are above average. Northamptonshire is one such area, where the NHS was required to set up a radon mitigation programme to reduce the potential health hazard to its 11,189 employees, employed on 82 separate sites. Calculates the dose saving achieved and the associated costs and attempts to derive a value for the cost‐effectiveness of the programme, as compared to a programme recommended by the NRPB to reduce patient doses from dental X‐Rays in the UK. It also examines recent domestic remediation initiatives investigated by researchers in Spain, USA, Sweden and Canada. The methods used by Colgan and Gutiérrez to measure reductions in radon levels and to calculate associated annualised costs were used to analyse the results of the Northamptonshire NHS programme which produced an estimated cost of £680,000 per lung cancer saved. This paper reports on the costs and potential benefits delivered by the radon mitigation programme in Northamptonshire. It also discusses some of the wider policy implications for management, particularly in multi‐site public sector organisations where value for money in an environment of cash limited funding is an increasing pressure.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it