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Record W3040830178 · doi:10.3390/su12145550

Assessing the Degree of Sustainability Integration in Canadian Public Sector Procurement

2020· article· en· W3040830178 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsYork University
FundersHewlett-Packard Development Company
KeywordsSustainabilityProcurementGovernment (linguistics)BusinessGovernment procurementProcess (computing)Order (exchange)Process managementEnvironmental economicsComputer scienceMarketingEconomicsFinance

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the current state of sustainability integration into Canadian government procurement and make recommendations on how to deepen current integration in order to accelerate the advancement of existing sustainability goals. We reviewed 50 publicly available Requests for Proposals (RFPs) issued between 2016 and 2019 and evaluated the significance of sustainability integration and the expanse of considerations using two measurement schemes. Our analysis suggests that sustainability integration into RFPs is currently superficial with limited integration into the evaluation process. We also found that the integration of sustainability was narrow with significant gaps in the breadth of environmental and social impact areas that were considered. As such, we provide insights and recommendations that will enable governments to accelerate the advancement of sustainability through the use of procurement.

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.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
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 head0.071
GPT teacher head0.299
Teacher spread0.228 · 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