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Record W7015947944

The Union as Climate Change Advocate: the BC Insulators' Campaign to “Green” the Culture of the
\nBuilding Industry in British Columbia

2022· report· en· W7015947944 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)ProcurementBest practiceNuclear decommissioningClimate changeCarbon footprintApprenticeshipQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the efforts of one Canadian building trades’ union, the BC Insulators, to influence the culture and climate change policies of the construction industry in British Columbia. The union’s members install and inspect mechanical insulation (MI) on heating, ventilation and air conditioning (HVAC) systems in commercial and industrial buildings. Its climate advocacy was prompted by the failure of the province’s construction industry to implement appropriate quality standards due to its culture of low bid construction practices and its unwillingness to train and employ qualified insulation workers. This failure was compounded by the reluctance of government to impose and enforce stringent building codes to reduce the carbon footprint of buildings. Recognizing the significant contribution that MI can make to reducing energy use and GHG emissions, the union embarked on a major campaign to promote the climate benefits of MI. It funded independent, technical research papers, commissioned best practice manuals with detailed guidelines on installing MI and initiated an extensive and carefully organized public education campaign to pressure industry and government to raise standards. It approached municipalities, building contractors, government officials, property developers, industry professionals and trade organizations to alert them to the importance of reducing the energy footprint of buildings. It pressured governments to raise MI standards in procurement of new and refurbished buildings and implement tougher requirements in their building codes. And it introduced climate change literacy into the curriculum of the apprenticeship system it oversees. This paper documents the union’s comprehensive campaign as an illustration of the contribution labour can make to addressing the critical challenge of global warming.
\nAnother version of this paper was presented at the International Labour Process Conference, Berlin, April 4 - 6, 2016.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesOpen science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.013
Science and technology studies0.0040.001
Scholarly communication0.0020.003
Open science0.0080.009
Research integrity0.0020.006
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 head0.017
GPT teacher head0.193
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

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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