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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 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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.464

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0410.007
Scholarly communication0.0080.001
Open science0.0010.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0080.001

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.

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; 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 designQualitative
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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