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Record W7046136746

City Building (Glasgow): An Inspirational Model of Low Energy Social Housing and Public Building Production

2022· report· en· W7046136746 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typereport
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Public housingAgency (philosophy)European unionVocational educationTraining (meteorology)SustainabilityPublic sectorProduction (economics)
DOInot available

Abstract

fetched live from OpenAlex

The aim is to investigate trade union policies and engagement in initiatives in the area of sustainable construction. The research is comparative and identifies case studies illustrative of trade union involvement in four European countries (Denmark, Germany, Italy and UK/Scotland) as well as in Canadian provinces (British Columbia and Ontario). \nThe concern, in particular, is to identify and promote ‘good practice’ examples and document, for instance, associated terms and conditions of employment for workers, vocational education and training (VET) programmes in low energy construction (LEC), and the extent that green transition pathways prioritise workers’ interests alongside the protection of the environment. City Building (Glasgow) in Scotland provides one such example, particularly in the context of a sector dominated in the United Kingdom (UK) by sub-contracting, self-employment, agency labour and a highly fragmented and restricted VET system.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.013
Scholarly communication0.0090.003
Open science0.0020.006
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0230.002

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 head0.034
GPT teacher head0.217
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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