Sustainability challenges and the ambivalent role of the financial sector
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
Over the past few decades, the financial sector has sought to positively contributing to sustainable development through innovative products and services. However, in its business-as-usual the financial sector continues to contribute to military interventions, environmental degradation, growing disparity of incomes, de-coupling of finance and real economy, and global economic crises. This article presents a framework of how to appraise the positive and negative contributions of the financial sector to sustainable development, from a systems perspective. On this base, the article proposes an approach for designing effective finance interventions to complex sustainability problems. Based on similar experiences from studies on water governance and technology development, the approach proposes a participatory procedure, first, to identify the role of the financial sector in complex sustainability problem constellations and, second, to develop intervention strategies for financial intermediaries interested in shifting their role and mitigating the identified problems. We discuss challenges of establishing causal links within the problem constellation, which is a prerequisite for successful intervention design, as well as in the cause–effect structure of the interventions themselves. The article concludes with outlining future research needs.
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 | 0.003 | 0.003 |
| 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) | 0.000 | 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