Raising the Question of Being in Education by Way of Heidegger's Phenomenological Ontology
Bibliographic record
Abstract
The aim of this essay is to explore how to raise the question of Being in education by way of Heidegger's phenomenological ontology. Phenomenological ontology is a way of approaching and conducting philosophy exemplified in Heidegger's Being and Time. To prepare the way for raising the question of Being in education, a nuanced understanding of Heidegger's phenomenological analyses on truth and language is summarized. Thereafter, the manner in which Being is referenced is analyzed before considering the way of Heidegger's phenomenological ontology. In conclusion, existing attempts and continuing efforts to explore the question of Being in education through phenomenological ontology are outlined. At a time when decontextualized and reductive ways of knowing and being are becoming the norm within education, phenomenological ontology offers new possibilities for scholarship and practice. The present inquiry does not offer solutions in the traditional sense, but rather traces a path that opens and keeps in tension the question of Being in education in order to support further study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".