Bibliographic record
Abstract
God guard me from those thoughts men think in the mind alone . – W. B. Yeats When the Canadian psychologist Dr. Michael Persinger got hold of a similar device a few years ago, he chose instead to stimulate parts of his temporal lobes. And he found to his amazement that he experienced God for the first time in his life . – V. S. Ramachandran G iven the difficulties with representative treatments of Paul's ecstatic religious experience, a fresh assessment seems warranted. In this chapter, I will consider Paul's ecstatic religious experience as a thing in itself, and in particular as an experience of an ASC. This approach commends itself for a number of reasons. First of all, it seems prudent to begin with the assumption that Paul's ecstatic religious experience shares some of the character of the religious ecstasy of others; although his experience may well be distinctive, it is fallacious to begin by assuming that it is unique. So, if Paul did not “journey” to heaven and speak in tongues in an altered state of consciousness, he would be unique, at least among those whose testimonies are accessible to critical scrutiny. Second, this approach offers an exploratory perspective through which experience can be described as more than second-order reflection and conscious thought. Finally, and relatedly, it takes seriously the fact that Paul was a contributing participant in his own experience, not merely in later reflection on it.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".