Underemployment of highly qualified labour in advanced capitalism: trends and prospects
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
‘Employers know that they can hire worldwide now … so, there is limitless supply of people … who can do the job … . they’re all qualified, most of them are actually over-qualified … . I’m a wage slave basically, I don’t think we have very much social status … . we are replaceable workers … I mean, the employer holds all the cards really. We are salaried employees … no different from any other worker.’ (Owen, automation engineer 2017)(Respondent to CWKE interview with engineers)Post-secondary graduates and professional employees in particular are widely regarded as highly qualified strategic resources in advanced capitalist ‘knowledge economies.’ However, there is mounting evidence that these ‘knowledge workers’ are experiencing increasing underemployment as well as diminishing involvement in continuing learning and some decline in job satisfaction. Trends in these factors are documented primarily on the bases of a series of national surveys of the labour force in Canada between 1982 and 2016. Prospects for more critical attitudes to working conditions as well as shifts in theorising and policy-making regarding relations between employment reforms and educational reforms are considered.
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 | 0.000 | 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) | 0.000 | 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 it