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
One of the main strategies in dealing with the problem of global warming in today’s world is saving energy or employing an efficient use of energy. It is the intention of this study to investigate the determinants of residential energy saving. Seven motives for residential energy saving have been identified: the benefits of saving money, and solving the global warming problem, as well as accepting responsibility for energy, knowing how to save energy, committing to the saving of energy saving through pledges, having a role model for energy saving, and comparing the current energy bill with the previous months’ bills. A total of 350 responses were collected from self-identified adult energy saving shoppers in Bangkok. The results of the multiple regression analysis indicated that the positive factors affecting residential energy saving were commitment to energy saving through making pledges, saving money, accepting saving energy as the person’s responsibility, knowing how to save energy, and comparing one’s current energy bill with that of the previous months. The analysis of the effective strategies for residential energy saving will be discussed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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