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Record W4226073668 · doi:10.1007/s43621-022-00081-y

Sustainability planning, implementation, and assessment in cities: how can productivity enhance these processes?

2022· article· en· W4226073668 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiscover Sustainability · 2022
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsSimon Fraser University
FundersMitacs
KeywordsSustainabilityProductivityEnvironmental planningBusinessUrban planningResource (disambiguation)Social sustainabilityProcess managementEnvironmental resource managementKnowledge managementManagement scienceEngineeringComputer scienceEconomic growthGeographyEconomics

Abstract

fetched live from OpenAlex

Abstract In this “urban century”, planetary realities and increased environmental and social awareness have led to significant international agreements and the recognition that local communities play a crucial role in successfully implementing long-term sustainability goals. Through two case studies in British Columbia, Canada, this research focused on how the concept, principles, and practices of holistic urban productivity can help address urban sustainability planning, implementation, and assessment processes. The research findings showed a range of challenges in urban sustainability such as the persistence on utilitarian approaches to resource management and community planning, the prioritization of short-term policies, a general resistance to systemic thinking, and various shortfalls in municipal capacity. These obstacles reflected the reality and complexity of urban sustainability processes and highlighted the need to redesign current decision-making. Addressing issues that transcend humanmade borders requires new configurations, non-hierarchical decision-making processes, and using local knowledge as a key guiding tool. Our recommendation is that cities embrace systems thinking in sustainability planning and implementation by focusing more on holistic evaluation of policy impact and finding synergies among policies and stakeholders in all sectors.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.303
Teacher spread0.294 · 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