Bibliographic record
Abstract
I vividly recall the night of May 3rd 1979 when Margaret Thatcher led her Conservatives into government. Several of us were gathered around a radio listening to the results come in. We were not even British but rather Canadian socialists working in our own national election campaign. We knew then that history would change but we had no idea to what depth. Thatcher’s death in April 2013 was a clear illustration of the politics of memory. One the one hand we witnessed expressions of gratitude for making Britain ‘great’ again and on the other a tremendous outpouring of rage for lives that were destroyed by her convictions. The evidence of Thatcher’s enduring legacy (and those of her fellow travellers around the globe) is captured in these three books. Taken together they present a unified insight into the actually existing impact not only of the second wave of neoliberal restructuring launched in the aftermath of the 2007-08 global financial crisis but also of the neoliberal project launched in the 1970s. While all three focus upon European and UK cases, the resurgence of neoliberalism after a brief period of emergency Keynesianism in North America shares in variations of the themes expressed here. If a reminder is needed that no revival of the social democratic golden age is imminent, these volumes amply demonstrate that we continue to live in exceedingly dangerous times.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.018 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".