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Record W3022988659 · doi:10.1088/1361-6552/ab807f

A Coulomb’s pendulum simulator

2020· article· en· W3022988659 on OpenAlexaff
Michel Gagnon

Bibliographic record

VenuePhysics Education · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicExperimental and Theoretical Physics Studies
Canadian institutionsUniversité de Saint-Boniface
Fundersnot available
KeywordsCoulombSoftwareInterpretation (philosophy)Set (abstract data type)ReplicatePendulumElectromagnetismComputer scienceProcess (computing)Simple (philosophy)SimulationTheoretical physicsPhysicsClassical mechanicsMathematicsQuantum mechanicsEpistemologyProgramming language

Abstract

fetched live from OpenAlex

Abstract At the end of the 18th-century, Charles Coulomb developed an apparatus to study the force between two electrified beads which allowed him to obtain his famous Coulomb’s law. Today, as one of the most fundamental outcomes in classical electromagnetism, his result is revisited in most high school physics courses, where students are asked to reproduce his formula, often relying on inaccurate assemblies. As an alternative, we would like to bring to the reader’s attention a realistic, yet simple computer-based simulator to replicate a Coulomb’s pendulum. Using this software, students can obtain an accurate set of data, allowing them to concentrate on the interpretation techniques, thus leading them to a better understanding of the process. The software is available as a free download.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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
Published2020
Admission routes1
Has abstractyes

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