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Environmental Economic Geography

2008· article· en· W1970561143 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

VenueGeography Compass · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMandateInstitutionalismSustainabilityReciprocalValue (mathematics)Resource (disambiguation)Political scienceSociologyEconomic systemEconomic geographyEconomicsEcologyPolitics

Abstract

fetched live from OpenAlex

Abstract This article advocates evolutionary institutionalism as a conceptual platform to launch a systematic approach to environmental economic geography. Evolutionary institutionalism interprets industrial transitions through the lens of innovative behaviour that is shaped by reciprocal economic and non‐economic processes and periodically restructures economies in the form of new techno‐economic paradigms (TEP). In this approach, environment–economy relations need not be zero‐sum games, as is often assumed. Rather, as a result of innovation and choice, these relations have been recalibrated historically and can be redefined again towards developing a green TEP in which development and sustainability are co‐imperatives. It is argued that the mandate of environmental economic geography is to assess and prescribe how place makes and should make a difference to a green TEP and the article sketches a research agenda to promote this goal. This research agenda focuses on the themes of regions as institutions, remapping resource use and sustainable value chains.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.999

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.266
Teacher spread0.248 · 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