Bibliographic record
Abstract
This book represents an essential resource exploring semiotics for education: Edusemiotics. It opens new pathways of engaging with signs inside/outside schools and across theory, practice, poetry, art, technology and politics. Peter Pericles Trifonas, Ontario Institute for Studies in Education/University of Toronto. Author of Reading Culture and Deconstructing the Machine (with Jacques Derrida) This trenchant collection of essays successfully integrates the scientific rigors of semiotics with a sophisticated application of creative arts in the context of both formal and informal pedagogy. The groundbreaking research in this volume represents a long- overdue inquiry into multiple relations and cross-currents in education worldwide and as informed by such luminaries as Peirce, Bahktin, Greimas, Kristeva, Havel, and other thinkers. A must to read! Thomas E. Peterson, University of Georgia (USA). Author of The Revolt of the Scribe in Modern Italian Literature and numerous essays in Educational Philosophy and Theory The book comprises a series of ingenious semiotic approaches to educational theory, practice and research. It represents a synthesis of analytic reason with poetics and images to enrich the meaning of education. John Deely, Professor of Philosophy, University of St. Thomas (Houston, USA). Author of Four Ages of Understanding: The First Postmodern Survey of Philosophy from Ancient Times to the Turn of the Twenty-First Century.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".