MétaCan
Menu
← Back to cohort
Record W6997167267

Waste Diversion and Reduction in a Green Office Building: A Social Practice Theory Lens

2023· dissertation· en· W6997167267 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSustainabilityCleaner productionMunicipal solid wasteScale (ratio)Best practiceWaste disposalEmployee moraleData collectionWaste collection
DOInot available

Abstract

fetched live from OpenAlex

A workplace, as an organisational setting, offers a suitable environment for reorienting employees’ daily routines toward the practice of environmental sustainability. This study addresses three central research questions: What discernible patterns exist in waste diversion and reduction practices over time within a workplace setting, both at the building-wide and tenant-specific levels? Does positive change in waste diversion practices within a workplace lead to a spillover effect, influencing employees' waste practices at home? How can shifts in waste diversion and reduction practices within a green office building be comprehensively conceptualized using the framework of social practice theory? Recognizing the importance of scale, this study employs a case study design to investigate the temporal evolution of waste diversion and reduction practices within a high-performance green building workplace context. By focusing on a specific case, the study examines how temporal shifts in these practices unfold, encompassing both tenant and building scales. Data collection methods encompass surveys to gather employee perspectives on waste diversion practices, waste assessments to analyse waste composition and generate quantitative insights, and daily monitoring of waste disposal activities to track and measure changes over time. Triangulating data from these sources ensures a comprehensive investigation. The findings reveal a positive trend in waste diversion practices at the building scale over time. At the tenant organizational scale, specific tenants exhibit significant improvements in both waste diversion and reduction practices, while others do not follow a similar positive trajectory. Moreover, this study underscores the workplace's role as a catalyst for sustainability beyond its boundaries. Positive changes in waste diversion practices at work can lead to a spillover effect, influencing employees to adopt similar practices at home. However, this effect is not immediate, with changes in home waste diversion practices showing a delayed response compared to the workplace. This research has significant implications for scholars and practitioners, emphasizing the importance of considering different scales, conducting temporal analyses, applying social practice theory, and recognizing the workplace as a catalyst for sustainability. Interdisciplinary collaboration and long-term impact assessments are essential for advancing sustainability practices within workplace environments. In summary, this study offers a comprehensive analysis of waste diversion and reduction practices in a workplace setting, shedding light on positive trends and variations across organizational scales. It underscores the workplace's potential to drive sustainability beyond its confines and provides valuable insights for scholars and practitioners seeking to promote environmental sustainability.

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)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0050.032
Scholarly communication0.0090.006
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.206
Teacher spread0.195 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)→Same topicEnvironmental Sustainability in Business→French-language works237,207→