MétaCan
Menu
Back to cohort
Record W1975230798 · doi:10.1080/13549830601183362

Conceptualizing Sustainability: Simulating Concrete Possibilities in an Imperfect World

2007· article· en· W1975230798 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

VenueLocal Environment · 2007
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsCapital Regional DistrictUniversity of British Columbia
Fundersnot available
KeywordsSustainabilityConversationImperfectProcess (computing)Cultural sustainabilitySociologySustainability scienceCognitionConceptual modelPsychologySustainability organizationsKnowledge managementManagement scienceComputer scienceEconomicsEcologyCommunicationLinguistics

Abstract

fetched live from OpenAlex

Abstract This paper uses a cultural model approach to interpret and analyse the impact of an interactive computer simulation tool (GB-Quest) on the possibility of fostering dialogue about sustainability in southwestern British Columbia, Canada. We define cultural models theory, compare cultural models to mental models and illustrate some basic features of cultural models. We then describe the research process in which participants engaged in conversation, guided and facilitated by GB-Quest, about sustainability. Findings suggest that the use of cultural models frameworks reinforces participants' understanding of sustainability. In reflecting on their prior models of sustainability, we argue that study participants can elucidate how cognitive conceptual resources reflect publicly shared knowledge (Turner, 2004).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.353
Teacher spread0.328 · 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