Paved with good intentions: Misdirected idealism in the lead-up to 2008’s GFC
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
Abstract Irresponsible lending practices on the part of financial institutions and proliferation of tradable derivatives were key causal agents of the 2008 financial crisis. However, it is less clear why, historically, loose credit arrangements were so widespread. Somewhat misleadingly, much conjecture has laid blame at the feet of financial institutions themselves. While it is true that duplicitous and even corrupt lending practices were consequential antecedents of the crisis, a legacy commitment to certain – laudable – elements of New-Dealism created context for these elements to become established. To understand really what went wrong, it is necessary to look back before the 2000s and appreciate the interaction that was occurring between a long-term policy commitment to neoliberalism and piecemeal/fragmented application of approaches that aimed to assist financially disadvantaged people. Using the analogy of heart-attack pathology to guide some of its analysis, this essay argues for better policy-integration.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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