Animate Prime Movers: A Prototype Based Methodology for Estimation of Renewable Power Production
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The world is shifting towards renewable energy sources most notably solar and wind power. Besides these two, there are other sources of renewable power which are relatively less exploited. Among these, a rather unexplored field is that of animate prime movers. The current paper intends to present hardware prototype based methodology for evaluation of the potential of generatable power from an exercising animate prime mover – which in the current case is a male caprine subject. MATLAB environment has been used for an attempt to track the center of mass (COM) motion of the subject subsequent to its movement on a retrofitted treadmill. These COM motion trajectories can be used to evaluate the potential of generatable power – wherein the vertical COM motion upon the treadmill with an incline is compared with the corresponding COM motion on the machine when it is flat, and thus the power expended for vertical propulsion of the body is evaluated. This power is potentially generatable if the machine is kept flat and an energy harvesting mechanism is attached to it. Furthermore, the paper includes a relevant literature review section for this relatively unorthodox field.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it