The Invitation to Become: A Phenomenological Analysis of a Master–Disciple Relationship
Bibliographic record
Abstract
The contribution of this paper lies in its extension of the phenomenological insights of Martin Buber and Jean-Luc Marion—in particular, Buber’s philosophy of dialogue and the I–thou relation, and Marion’s articulation of saturated phenomenality—to the unique context of the relation between a spiritual Master and a disciple. The author of this paper is the disciple in question, such that a certain autobiographical dimension to the analysis is inevitable and even necessary. From this it follows that the analysis presented in no way aspires to apply universally to all Master–disciple relationships, though some generality may be possible to the extent that both Buber’s and Marion’s phenomenological insights may be generalizable to some degree. At heart, what is hoped is that the thick phenomenological descriptions contained in the analysis, expressions of a sustained application of the work of Buber and Marion to a unique context, will be of interest to the reader.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".