The Repeatability of Dowsing Reactions when Searching for “Active Sites”. Site Dependent Dowsing Reactions
Bibliographic record
Abstract
Dowsing is an activity known and used over centuries in many cultures to detect sites where underground water, specific minerals or other geological underground structures are present. We called such sites “active sites” because the dowsers sensed them. The purpose of this paper was to assess whether and to what extent dowsers reactions were reliable when crossing an “active site”. Nine expert dowsers completed their experiments in the study. The dowsers approached the “active site” from randomly selected starting positions using single blind and double-blind procedures. The experimental results obtained on all four “active sites” showed that in 20 out of 20 tests the dowsers’ reactions were not at random positions. The area where the dowsing reactions of different dowsers occurred did overlap. Thus, expert dowsers were able to sense the “active sites” in a reliable fashion.
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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) | 0.000 | 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".