Understanding Diverse Outcomes for Working-Class Learning: Conceptualising Class Consciousness as Knowledge Activity
Bibliographic record
Abstract
Abstract This article poses the question: Why is it that work/life teaches some workers resistance and militancy while it seems to teach others despondency, withdrawal or manic careerism? The significance of this question lies in the decline of working-class community. The question is answered through an exploration of ways of conceptualising working-class learning that account for a diversity of outcomes in terms of class consciousness. The article briefly reviews key dimensions of learning theory, and then, by drawing on two empirical illustrations, it argues that the workplace must be conceptualized as an ensemble of work/life spheres. The argument confirms the prospect for a better understanding of the complex nature of work-learning relations with an emphasis on artifact mediation (i.e. the role of tools and ideas) and participatory structures (i.e. activity systems). Here the content and structural location of working-class cultural practices and dispositions (i.e. habitus) within activity systems are deemed central.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.016 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".