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Record W2472917069 · doi:10.3390/su8070623

Is It What You Measure That Really Matters? The Struggle to Move beyond GDP in Canada

2016· article· en· W2472917069 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

VenueSustainability · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsTransformative learningGross domestic productPoliticsSustainabilityEquity (law)Political scienceProduct (mathematics)EconomicsSociologyDevelopment economicsPolitical economyEconomic growthLaw

Abstract

fetched live from OpenAlex

In light of Gross Domestic Product’s (GDP) well-known limitations as a wellbeing indicator, many alternative measures have been developed around the world. Some advocates of “beyond GDP” measures argue that they are key to shifting societal priorities away from economic growth toward sustainability, equity, and well-being. Is there any evidence to date that alternative indicators have lived up to their supporters’ expectations, whether the hope is for a radical transformation of social priorities away from GDP growth or a reformist vision of better policymaking without challenging the growth paradigm? What are the obstacles to fulfilling those expectations? This article examines the Canadian experience, drawing on interviews with researchers, non-governmental organization (NGO) leaders, public-sector officials, and politicians, along with analysis of relevant documents. The hopes of Canadian proponents of new wellbeing measures have been largely disappointed to date, as no impact on federal or provincial policy is evident. Obstacles facing both a transformative and more limited reformist vision are examined. The Canadian case also suggests that use of new socio-economic indicators is best seen as one product of political efforts to bring ecological and social values into decision-making, rather than as the transformative force that will cause a change in societal priorities.

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 score0.147
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.218
Teacher spread0.209 · 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