Questioning Hermeneutics with Freud: How to interpret dreams and mute-speech in Sikh scripture
Bibliographic record
Abstract
This paper begins to question the interpretive endeavor when it is applied to the Adi Granth. The text itself expresses a view that the ‘world is a dream’ and that there is real difficulty in communicating the truth about reality, since it is like a mute person who enjoys, but is unable to express, the taste of his sweet; that is the sweetness of the mystic experience. I raise the question: what is hermeneutics to this situation? How is one to interpret a dream and a text that is the ‘speech’ of a mute person? Traditional hermeneutic theories (conservative, moderate and critical) do not seem to cater for this problematic since they do not concern themselves with the unconscious, the sub-text, the dreams underlying waking thought. I thus turn to Freud to gain clues about the interpretation of dreams, and thus attempt a preliminary radicalization of hermeneutic theory. It is suggested that perhaps a reversal is required where dreams precede worldly reality, and interpretation is a sign of delusion, obviously locating and implicating this very text within the very problematic it attempts to illuminate. Beyond this ironic tautology I ask: could there be a self that does not dream and does not interpret?
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.073 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".