The mechanical transformation and environmentally conscious behavior
Bibliographic record
Abstract
Abstract The aim of this work is to explore the relationship between products that mechanically transform and individual environmentally conscious behavior (ECB). Our qualitative study led to observations on how each of the three transformation principles, expand/collapse, expose/cover, and fuse/divide, specifically supports ECBs. As expected, expand/collapse enables better portability of products. Increased portability of reusable products (e.g., travel mugs and shopping bags) reduces reliance on their disposable counterparts. A less expected observation is that increased portability also increases the spontaneity by which ECBs could be carried out. While there are fewer ECB supporting products that incorporate the expose/cover principle, we believe that it enables one to include, yet hide potentially unaesthetic, features that support ECB in often-used or worn items. Finally, we found fuse/divide to enable portability beyond what is possible with expand/collapse alone. Fuse/divide may also make possible other product transport and reuse strategies. We conclude that mechanically transformable products support and enable ECBs, especially when existing infrastructure presents obstacles. Such products may increase the rate of participation in ECB, which then justifies improvements to the shortfalls in infrastructure for which they compensate.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".