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Record W6977126202 · doi:10.6084/m9.figshare.19424381

[FIGURE] Relativity of π as a function of the N-sided unit regular polygon circumscribing a circle [published in JMR / 2022]

2022· other· en· W6977126202 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typeother
Languageen
FieldComputer Science
TopicAdvanced Algebra and Logic
Canadian institutionsnot available
Fundersnot available
KeywordsInscribed figurePerimeterPolygon (computer graphics)Unit circleUnit (ring theory)Unit squareStar-shaped polygonSimple polygon

Abstract

fetched live from OpenAlex

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>-------------------------------------------------------------------------For more public data, please visit my Figshare profile: https://figshare.com/authors/Luis_Teia/10811244

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1670.000

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.

Opus teacher head0.022
GPT teacher head0.229
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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