Pedagogic Being in a Neoliberal School Market: Developing Pedagogical Tact Through Lived Experience
Bibliographic record
Abstract
Exploring teaching as an upper secondary school teacher through lived experience offers pedagogical insights that have been challenged over a period of 25 years, when neoliberal educational policies gradually transformed the conditions for teaching in Swedish schools. The article is grounded in the assumption that the teaching profession is complex and there are multiple tacit dimensions inherent in being and becoming a teacher. Several of these dimensions are captured by the notion of pedagogical tact and have to be learned through practice. However, over the past few decades, the implementation of neoliberal policies in the Swedish education sector have changed the conditions for teaching, and created an area of tension between the teacher’s pedagogical alignment and the educational practices influenced by neoliberal values. The aim of the study is to describe how the author experienced these tensions, and what they meant for her becoming and being a teacher in three different pedagogical sites: a higher education preparatory program, a vocational preparatory program, and in adult education. The description is grounded in the lifeworld phenomenological approach and carried out through personal narrative.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.057 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| 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".