Bibliographic record
Abstract
Millions of British workers are expecting a pay rise in 2023, with nearly a quarter of respondents to a recent recruitment survey hoping for at least 10 per cent extra. It comes as nurses are negotiating for a 19.2 per cent increase, while unions recently secured 10 per cent plus a £2,000 bonus for workers at Rolls-Royce. So, as the cost of living crisis bites and the recession’s forecast to last until 2024, are union demands realistic and what’s the best strategy for squeezing a few more pounds from your boss, particularly if they have a “high ego”? Meanwhile, if you’re struggling this Christmas then please spare a thought for those hard-up bankers, who could soon receive unlimited bonuses after the Bank of England announced plans for a consultation on scrapping the so-called ‘bonus cap’. To examine how wages are looking into 2023 and tips for handling those awkward money conversations with the boss, The Leader’s joined by Dr Grace Lordan, a labour economist at the London School of Economics.
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 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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".