Effects of Variations in Earth’s Gravitational Force Fields on Climate Change
Bibliographic record
Abstract
World climate continues to deteriorate at varying rates in spite of different anthropogenic mitigative and adaptive interventions. Conversely, the gravitational force fields of the sun and moon hold Earth in orbit, amongst others. Herein, we explore the impacts of changes in these gravitational fields on global climate and examine their influences on natural events, such as ocean tides, volcanoes, geomagnetic storms and movement of tectonic plates. Beyond reports on greenhouse effect and mass transport, we discuss the influence of gravity on tidal bulges, melting glaciers, condensable atmosphere and other events, such as El Niño and La Niña, and correlate their typically subtle impacts on climate worldwide with variations in Earth’s gravity. The intention is to highlight other causative factors implicated in climatic change without diminishing the contributions of greenhouse gasses and other factors, which are currently regarded, by specialists and lay-public alike, as the major culprits of climate change. We submit that the shifts in Earth’s gravitational fields to sustain equilibrium and remain in orbit can manifest as perturbations of atmospheric temperatures, pressures and air concentrations as well as volume changes and ion effects; in hydrological bodies, and are some of the non-anthropogenic agents driving changes in global climate. We surmise, therefore, that the influence of changes in gravity, albeit subtle, on climate change is significant. It is envisaged that highlighting these subtle agents of change would intensify efforts toward ameliorating and/or eliminating drastic and deleterious changes in climate as well as at embracing adaptive measures at local and international levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".