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Record W2994053459 · doi:10.5539/apr.v11n6p9

Archimedes’ Principle and the Concept of Gravitation

2019· article· en· W2994053459 on OpenAlexvenueno aff
Giancarlo Cavazzini

Bibliographic record

VenueApplied Physics Research · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)Volume (thermodynamics)PhysicsThermodynamics

Abstract

fetched live from OpenAlex

Simple experimental evidence shows that the current physical interpretation of the phenomenon of a solid material body floating on the surface of a liquid body - known as ‘Archimedes’ Principle’ - is not correct. As this interpretation is a consequence of the assumption that a volume of material, when immersed in a fluid, does not ‘lose’ its ‘weight’, what we believe of gravitational mechanical action is also not correct. A material volume immersed in a fluid is currently believed to be subjected to two mechanical actions, ‘gravitational mechanical action’ or ‘weight of the material volume’ and ‘Archimedes’ force’. This is not in fact correct: the material volume is subjected to only one mechanical action, proportional to volume and to the difference in density between the matter of the material volume and that of the fluid. We propose to call this mechanical action the ‘weight of the material volume in that fluid’, ceteris paribus. At the Earth’s surface, floating of a solid material volume B on the surface of a liquid volume is the result of the concurrent action of two ‘weights’, the ‘weight in air’ of the part of volume B which is immersed in air, directed downwards, and the ‘weight in the liquid’ of the part of volume B which is immersed in the liquid, directed upwards.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.019
Scholarly communication0.0030.006
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.033
GPT teacher head0.298
Teacher spread0.265 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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