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Record W2953227767 · doi:10.5539/jmr.v11n2p158

Implication of Reducing the Angle at the Centre to 10-n to the Relationship Between the Regular Polygon and the Circle Circumscribing the Polygon

2019· article· en· W2953227767 on OpenAlexvenueno aff
Kwenge Erasmus, Peter Mwewa

Bibliographic record

VenueJournal of Mathematics Research · 2019
Typearticle
Languageen
FieldMathematics
TopicMathematics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPolygon (computer graphics)MathematicsDecimalRectilinear polygonCombinatoricsPolygon coveringNewton polygonStar-shaped polygonSimple polygonGeometryArithmeticMonotone polygonRegular polygonComputer science

Abstract

fetched live from OpenAlex

The purpose of the study was to establish the relationship between the regular polygon and the circle circumscribing it. The study revealed that the circle is a special polygon if the angle at the centre is reduced to 10^-n where n is the number of decimal places of the angle at the centre of the polygon after finding the sum of areas of the triangles in the regular polygon. It was also discovered that if the angle at the centre of the polygon is reduced to 10-n and has same number of decimal places as π, then the circle circumscribing it would have the same area with the polygon if the two answers are rounded off to (n – 3) decimal places and a polygon with infinite number of sides is a circle. This relationship also proved that π = sin θ (1.8 x 10^n + 2) where n is the number of decimal places of π.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.168
GPT teacher head0.410
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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