The Fibonacci Life Chart Method as a Predictor of Spiritual Experience
Bibliographic record
Abstract
The Fibonacci Life Chart Method (FLCM) provides a framework linking development and spirituality. This study addressed the need for empirical research to test the hypotheses proposed by Sacco (Sacco, 2016). To address this problem, this study used case reports (N = 196) from the Alister Hardy Religious Experience Research Centre. The dynamical aspects of ages 11, 18, and 30 were examined as predictors of increased spiritual experience in adolescents and young adults. Results showed only ages 17 and 18 predicted a higher frequency of spiritual experience between ages 11 and 35. Age 18 was associated with a higher effect size (r = .27). This finding provides some empirical support for the FLCM as a predictor of spiritual experience, but not all hypotheses found support. Limitations to the study’s design are discussed along with implications for future research.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".