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Record W2978860974

Review of Obstacles to the Delivery of Affordable Zero-carbon Homes in Scotland

2009· article· en· W2978860974 on OpenAlexaboutno aff
Widya Sujana, Masa Noguchi, Euan Barr

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsAffordable housingGovernment (linguistics)BusinessPopulationSustainabilityFuel povertyStatus quoOrder (exchange)Economic growthNatural resource economicsEconomicsFinanceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Within today’s environment of economic stagnation, every 1% increase in domestic energy prices leads around 8,000 households in Scotland to fuel poverty and nearly 25% of the population is experiencing some difficulty in heating their home properly. Operational energy use is having a significant economic impact on households’ daily life. Consequently, there is an urgent need for the delivery of affordable low/zero‐carbon homes in Scotland. In reality, the house‐building industry today has no systematic way to deliver such unconventional homes, despite government introducing targets for enhanced levels of sustainability in housing construction. In order to identify potential barriers that limit the industry’s capacity for the commercialisation of zero carbon homes, this study first explores the status quo of today’s affordable housing production in Scotland and secondly, it extends the scope to a review of successful low/zero‐energy affordable housing developments in Canada. This study concludes with the argument that Scottish homebuilding industry is experiencing the following challenges: an absence of clear definition (or value standards) of housing affordability and zero carbon homes; a relative unfamiliarity with passive energy and environmental design techniques and innovative building materials and systems including renewable energy technologies; and the lack of technical knowledge transfer training activities which often generates extra time and money in the building process. In Canada, the government tends to offer house‐builders and housing manufacturers systematic training in low‐energy housing delivery approaches, such as R2000 or/and Super E® programmes, and defines housing affordability as 32% of a household’s gross monthly income on mortgage principal, interest, taxes, and heating expenses. This paper also underpins the significance of a design charrette being implemented in the delivery of net zero‐energy affordable housing in Canada and suggests methods by which a similar approach could effect a more efficient construction process and a better performing, affordable housing product.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.192

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2009
Admission routes1
Has abstractyes

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