Re-Envisaging the Eight Developmental Stages of Erik Erikson: The Fibonacci Life-Chart Method (FLCM)
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this study is to describe the use of Fibonacci numbers to model Erikson’s eight developmental stages and to formulate practical clinical implications. Using a new method, called the Fibonacci Life-Chart Method (FLCM), all prospective dates based on the Fibonacci sequence between January 1, 2000 and December 31, 2100 were identified. This study found the FLCM produced a developmental pattern characterized by eight recognizable stages. This finding constitutes a new classification of Erikson’s eight developmental stages. The present research provides support for Erikson’s epigenetic view of predetermined, sequential stages to human development based on the occurrence of Fibonacci numbers in biological cell division and self-organizing systems. This method may help identify populations at risk for psychological disorder, which would allow early intervention. However, a longitudinal study is required to establish its predictive power.
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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 | 0.000 | 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) | 0.018 | 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 it