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The chaotic pendulum

2005· book-chapter· en· W4388373207 on OpenAlexaff
Gregory L. Baker, James A. Blackburn

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsReductionismAsideTheoretical physicsChaoticPendulumEpistemologyPhysicsComputer sciencePhilosophyQuantum mechanicsArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Much of the history of physics has been characterized by the effort to understand, in great detail, increasingly smaller pieces of nature; beginning with classical particles and waves, and progressing to molecules, atoms, nuclei, and elementary particles. This trend became especially pronounced in the twentieth century with the development of sophisticated experi mental apparatus capable of probing deeply into nature’s innermost parts. Aside from the sense that one is closer to reality at the deeper levels of nature, it is plausible to assume that a clear understanding of the small pieces of nature will lead to a clear view of the large picture. The whole is presumed equal to the sum of its parts. This approach is sometimes call reductionism. More recently, in certain areas of physics, the opposite methodology has proved fruitful. New structure and organization may become evident when there is complexity, large numbers of parts, several degrees of freedom, or even just sufficient energy to make a discrete change in the system. Indeed, sometimes the whole is more than the sum of its parts. This creation of new richness of behavior often occurs in the study of processes that are pushed well beyond their equilibrium configurations. Researchers find new levels of organization, new complexity that does not seem to be obvious from a consideration of the individual parts of the process (Prigogine 1980). For example, if reactants are forced rapidly into certain chemical reactions, the resultant products may show spatial or temporal ordering (Zhabotinskii 1991). Or convective systems with large temperature gradients may exhibit new structural or dynamic organization of fluid motion. Even the motion of the humble pendulum achieves a new level of complexity if it is driven energetically at nonresonant frequencies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.883
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.002

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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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
Published2005
Admission routes1
Has abstractyes

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