Bibliographic record
Abstract
Beaches are among the most important transitional environments on the Earth's surface. The Armacao beach in Salvador, Brazil, presents peculiar characteristics. Those characteristics allow us to evaluate the influence of the atmospheric circulation system and the consequent longitudinal and transversal variation in the energetic response acting on it. Employing the power spectrum, the Argand complex plane, the return and the phase plots, instead of other common forms of graphical representation of beach shape and topography, greatly improved imaging of the beach profiles results. A sequential analysis of these four representations showed both the purely deterministic and the non-linear, possibly chaotic, components of the phenomenon. They also enhanced some aspects and disclosed others, which previous investigations with the same temporal data set did not show. Both the lunar cycle and a 29-month cycle related to EI Nino have been identified. Three, four, six, and seven-month cycles have been significantly depicted on the lower beachface. The combined analysis of the four types of representations, with the energy content versus cycle time of those cycles, show that these phenomena are manifestations of chaotic systems. Therefore they are unpredictable, without a simple explanation of causal relationships. The employed procedure can be adapted to the investigation of other natural dynamical systems.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.011 | 0.004 |
| Insufficient payload (model declined to judge) | 0.992 | 0.993 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".