Bibliographic record
Abstract
Professor Edward Webster, affectionately known as Eddie, breathed his last on 5 March 2024, twenty-four days before his eighty-second birthday. Eddie was healthy and had just participated in a run. The shocking untimely death has left a profound void. His impactful research work, integrating a consistent focus on work and labour, spanned decades, dating back to the early 1970s. Eddie went beyond just researching and publishing – activities in which he engaged extensively. He was an engaged intellectual, actively involved in the emancipatory working-class movement to change the world he researched. Writing with Lynford Dor, Webster defends the power resources approach which identifies the sources of workers' power and includes a focus on workers' resistance to exploitation in pursuit of their interests. Webster successfully challenges the “end of labour thesis” using evidence-based sectoral case studies from a selection of global South countries. He brought together contributions by other scholars in the edited book. The “end of labour thesis” can also be challenged from the standpoint of the labour theory of value. However, this is not part of the authors’ chosen approach, which suffices on its own merits.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.264 | 0.158 |
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".