Is It What You Measure That Really Matters? The Struggle to Move beyond GDP in Canada
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it