[FIGURE] Relativity of Pi as a function of the N-sided unit regular polygon circumscribing a circle [published in JMR / 2022]
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Bibliographic record
Abstract
The picture is part of a recently (2022) published article in the Canadian Journal of Mathematics Research (please see the link below for the full paper). <br><br>Consider the following perspective: Take a unit square and inscribe in it a circle. It's perimeter will be π(=3.1415926536) with a diameter D=1. Now take a unit regular triangle, and inscribe in it a circle. It's perimeter changes to 1.8137993642. Do the same for a unit regular pentagon, an hexagon and a heptagon, the perimeter of these inscribed circles changes to 4.3240313299, 5.4413998027 and 6.5235843645. Each unit polygon and inscribed circle represent a point in the new perspective of π as a function, where the ratios of the perimeter of a circle (the arc length) and the perimeter of the regular polygon that circumscribes it (the linear length) equates to the ratio of the corresponding above π and the number of sides of the polygon. In this perspective, the linear reference that defines the proportion that is π varies with the side of the chosen circumscribing polygon (where D=2R is the particular case of the side of the polygon square). The article shows that both the perimeter and area of a circle can be equated via the appropriate π to the side length of the circumscribing polygon selected.<br>
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.404 | 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