TRANSITION TO SUSTAINABLE ECONOMY - REVIEW OF POLICY CHOICES SUGGESTED BY INTERNATIONAL AGENCIES
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
Globally, there have been significant efforts to develop new means of assessing progress beyond GDP in recent years. The recent publication by the UN Secretary-General of a policy brief (UN, 2023) is inviting member states to move beyond GDP by measuring what truly matters for sustainability and prosperity. The policy brief outlines the shortcomings of GDP as an indicator of summarizing everything too much and revealing too little to be able to adequately inform policy (UN, 2023; pp. 12). This paper will present a review of a number of recent documents (2019 � 2022) published by international agencies to explore their views on the role and types of growth to achieve their objectives such as reducing emission, improving resilience, protecting biodiversity and so on. The paper will discuss two approaches to growth and development. Most of the listed reviewed documents suggest approaches for governments to move towards sustainable, inclusive, and sustained economic growth. Second set of recommended approaches focuses on the importance of broadening the indicators used to describe economic growth, often referred to as �moving beyond GDP�. The paper will provide details on each of the suggested approaches and potential linkages and win-win solutions to improve pressing global challenges.
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 | 0.001 |
| 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) | 0.006 | 0.002 |
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