Bibliographic record
Abstract
Embodied wisdom: Meditations on memoir and education by Alison Pryer, Ph.D. explores the interconnectedness of body, mind and spirit within diverse educational contexts. Evocative, sensual prose carries the reader on a journey through the personal and the remembered in a layered series of autobiographical essays, each one affording deeper insights into the ways in which the inner, emotional life of an educator is intertwined with everyday embodied practice. This is a provocative text, alive with the richness and complexity of pedagogical experience, one that acknowledges the presence of the body, the spirit, the passionate, the subjective, the intuitive, the chaotic, and the sacred in all the relationships that make teaching and learning possible.In speaking beyond the limitations of dualistic pedagogy, in its diverse forms and locations, Embodied wisdom enters at times into unexpected and little explored pedagogical territories, engaging with educational contexts that our dualistic culture often denigrates, dismisses, or considers taboo. This work offers readers subtle understandings of the centrality of love, desire and eros in teaching and learning; carefully examines the connections between powerful family and school pedagogies, including 'domestic' violence against women and childhood sexual abuse; opens up a textual space in which to contemplate the contemporary relevance of the ancient wisdom of Zen pedagogy; and gives serious consideration to the role that the public pedagogies of popular culture play in the formation of personal and cultural identity.The work of healing our dualistic educational culture is a significant political and ethical undertaking – a matter of social justice. Embodied wisdom is a book that lights the way for those who want to engage in meaningful cultural transformation. It is, above all, a generative and hopeful text, one that makes possible new kinds of conversations. It will be of interest to curriculum theorists and teacher educators, as well as those engaged in holistic education, social ecology, women’s and gender studies, and cultural studies. This award-winning, ground breaking exploration of memoir as methodology is also an exquisitely written resource for those engaged in innovative arts-based and autobiographical research.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.042 | 0.017 |
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".