Education and training: from public good to private responsibility
Bibliographic record
Abstract
Introduction In the previous chapter we explored the expansion of education and training, showing how it has become a central feature of young people's lives. Our case study analysis drew attention to the political processes that have shaped this area, highlighting how ‘third way’ politics has had a major impact on determining what was to be achieved. We explored the implications of the failure of the graduate promise alongside the limited opportunities provided by vocationalism and the implications for social mobility. This chapter continues this analysis. First, we will explore in more detail the way neoliberalism has changed the field of practice in post-16 education and training. While ‘third way’ politics brought a commitment to questions of social justice, neoliberalism was hugely influential in reshaping the way that universities and vocational education and training (VET) providers were to operate. This process has increased since the 2007 crisis as a result of austerity measures being implemented. Second, a major change brought about by neoliberal principles was the ‘user pays’ philosophy. While this approach has a long history in some countries, by the 21st century it was fully established in the post-16 educational and training sector and, as we shall see, since the crisis it has had substantial impacts on levels of student debt. The final section of this chapter will return us to the question of the widening participation agenda, where we will examine how effective it has been in the UK, Australia, Canada and New Zealand in bringing different social groups into the education and training field. Neoliberalism and the commodification of education and Training At the heart of the recent reforms in post-16 education and training has been the roll out and implementation of neoliberal approaches. These have had a significant impact on the educational experience of young people in Australia, Canada, New Zealand and the UK. When talking about higher education, ‘under neoliberalism, markets have become a new technology by which control can be effected and performance enhanced, in the public sector’ (Olssen and Peters, 2005, p.316). While these practices in the delivery of higher education can be seen in most advanced economies, the level and intensity of these processes varies by country and in some places by region (Marginson, 2013).
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".