Permanent Time as an Alternative to Counter the Detrimental Effects of DST on Canadian Society
Bibliographic record
Abstract
Daylight saving time (DST) is a practice that shifts the perceived time one hour forward in the spring and one hour behind in the fall, effectively granting more sunlight in the evenings of springs and summers. In recent years, an increasing number of people have been dissatisfied with this method of keeping the time for a variety of reasons. To begin with, DST no longer saves energy because artificial illumination no longer contributes to the majority of energy expenditure in the current Canadian society. Secondly, DST affects many different forms of economy, varying from farming and manufacturing to family owned businesses. DST also damages the well-being of Canadians by increasing the risks of health problems from every time change. From an online survey study to investigate the public opinion on the timekeeping ways, most participants have shown that they do not want the current DST arrangement; Around three-quarters indicated that they prefer one of the permanent time schemes, one that they do not need to change clocks twice a year. The method to keep time is one that affects everyone, and may have major impacts on the socioeconomic well-being of a society. Therefore, it is imperative that the significance of the current DST scheme on society be clarified and the people’s opinions be heard in subsequent survey studies that include more participants.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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".