Bibliographic record
Abstract
H ere we look at the morale behind the financial world's expectations. How else is it possible to explain institutional memory loss? Criticisms which reduce the financialisation of life to an ideological triumph of libertarianism are an oversimplification. These days, democracies are openly divided by suspicions, public conflicts and social movements. What orthodoxy presents as an aggregate of individuals, bargaining anonymously – independently – in financial markets, is in fact a social field of mighty organisations struggling over internal credibility. Other fields contend too. Images of herds with amorphous mood-states (during alleged financial instability) are as ideological as rational actor assumptions. Consider the Jubilee debt relief movement led by the established world religions, or the legal and governmental challenges and waves of protests against the excesses of global policies. ‘Stop the MAI’ movement triumphed after a mooted Multilateral Agreement on Investment (MAI) was leaked from the OECD in 1997 and hastily withdrawn. MAI sneaked back, with a new label, again to fail at a divisive Cancun meeting of the WTO in 2003. The European and Canadian-led ATTAC movement proposes a Tobin tax on currency speculation (named after an economist, James Tobin). Less dramatic, as perhaps prosaically interest-based, are shareholders' revolts and their unseemly behaviour at annual general meetings of banks and corporations in the ‘core’. Such a sample of recent activity provides ample evidence that millions of people around the world are not duped by the financial sector's self-rationalisations.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".