Analysing micro-credentials in higher education: a Bernsteinian analysis
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 paper critiques the emergence of micro-credentials in higher education. It argues that micro-credentials build on the discourse of employability skills and 21st century skills within human capital theory, and that they increase the potential of human capital theory to ‘discipline’ the HE curriculum to align it more closely with putative labour market requirements. The paper is situated within the social realist school in the sociology of education, and it draws primarily on the sociology of Basil Bernstein to develop this critique, while also drawing on the Continental Didaktik tradition. It analyses the nature of the person envisaged in curriculum, the homo economicus of human capital theory. This self is a market self who uses micro-credentials to invest in this or that set of skills in anticipating labour market requirements. The paper uses a range of Bernstein’s concepts to analyse the links between what is to be taught, to whom is it taught, and how is it taught in micro-credentials. It focuses on the principle of recontextualization which comprises instructional and regulative discourses, to examine the ways in which notions of the person and human motivation are reshaping relations of classification and framing in HE curriculum.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 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