Austerity and On-the-job Vocational Learning
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
This article seeks to contribute to an understanding of questions regarding on-the-job vocational learning, power, and technological change in the context of dynamic notions of knowledge economy and contemporary public sector austerity in the West based on a “mind in political economy” approach inspired by the Cultural Historical Activity Theory tradition. It draws on recently completed analysis of public sector human services work (welfare benefits delivery work in Ontario, Canada) based on a seven year mixed-methods study (learning life-history interviews n=75; survey n=339). It seeks to explain the emergence of difference between the on-the-job vocational learning of newcomers and veteran workers. The conclusion suggests that structural changes to economies, sectors and organizations, often revolving around new forms of advanced technology, may initiate a process of contestation, appropriation, accommodation and consent that must be actively accomplished by inter-generational dynamics amongst workers within activity.
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 | 0.001 | 0.005 |
| 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) | 0.001 | 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