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Record W3122780312 · doi:10.14296/jhrc.v2i2.2273

Readjusting the political thermostat: fuel poverty and human rights in the UK

2016· article· en· W3122780312 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Human Rights in the Commonwealth · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsHuman rightsFuel povertyPovertyCharterPoliticsCulture of povertyInternational human rights lawFundamental rightsPolitical scienceRight to propertyDevelopment economicsCultural rightsEconomic growthPolitical economyLawSociologyBasic needsEconomics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.384
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it