Readjusting the political thermostat: fuel poverty and human rights in the UK
Bibliographic record
Abstract
Fuel poverty − the inability to afford adequate warmth in the home − is a widespread problem across the UK. Cold, damp homes are detrimental to human health and contribute to thousands of ‘excess winter deaths’ every year. This article analyses fuel poverty from a human rights perspective – asking whether it engages human rights protections. It first discusses the definition, scale and health impacts of the problem.Second, it explores the relationship between fuel poverty and the rights contained within the European Convention on Human Rights, the International Covenant on Economic, Social and Cultural Rights and the European Social Charter. It concludes that fuel poverty readily engages rights to adequate housing, food and health and certain civil and political rights in extreme circumstances. It discusses the legal implications of these findings for fuel poverty policy, arguing for a ‘human rights approach’ to tackling the problem. These conclusions focus on the particularly drastic fuel poverty situation in the UK, but can also be applied globally to the various nations where citizens suffer similar problems and extend to the wider debate on therelationship between poverty and human rights.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".