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Record W4382319530 · doi:10.1080/13549839.2023.2218078

Transformation through transdisciplinary practice: cultivating new lines of sight for urban transformation

2023· article· en· W4382319530 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.

Bibliographic record

VenueLocal Environment · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransformative learningSociologySustainabilityTransformation (genetics)DisciplineEngineering ethicsRelation (database)EpistemologyEnvironmental ethicsComputer scienceSocial scienceEngineeringPedagogyEcology

Abstract

fetched live from OpenAlex

In this editorial introduction, we introduce the special issue ?Transforming Urban Sustainability?, which seeks to understand the pursuit and practice of transformative change for urban sustainability. Uniquely, the contributions to the Special Issue were developed through trans-disciplinary collaborations and in this editorial we reflect on these practices and consider how they can catalyze transformative change in and through academic practice. We also review existing conceptual approaches to transformation and develop a heuristic device that helps us to appreciate its multiple and diverse dimensions. Through this heuristic, we generate lines of sight through which to view transformation and position the contributions in the Special Issue in relation to these. We conclude by suggesting that to advance both the understanding and traction of transformative action we need to recognise its multiplicity and actively engage with its different facets.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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