Teacher Educators in Neoliberal Times: A Phenomenological Self-Study
Bibliographic record
Abstract
In Sweden, and most Western countries, pervasive neoliberal policies have dramatically transformed the entire education sector in a matter of decades. As teacher educators, we have experienced how neoliberal currents have pushed Swedish teacher education towards a teacher training paradigm which may risk undermining the foundations for professional judgement. Moreover, the Bologna Process and the introduction of New Public Management have had significant consequences for what it means to be a teacher educator. In this study, we present our everyday experiences of being teacher educators, immersed in a teacher education culture in Sweden which has evolved under the pressures of neoliberalism. To address these complex lived experiences we engaged in a phenomenological first-person account. Three main themes emerged from an analysis of lived experience descriptions: (a) Alignment Slaves; (b) Audit Puppets; (c) Techno Phobes. These themes reflect different lived dimensions of being teacher educators confronted with neoliberal agendas. The paper concludes with a call for resistance to bring about change within teacher education.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.028 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".