Comparative study of companies with different focus on product longevity
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
Companies producing consumer durables for which high performance levels have been achieved may or may not opt to focus on product lifetime extension. Some companies have responded by promoting their products’ reliability and durability by providing manufacturer guarantees, extended warranties and even lifetime warranties. Companies producing three types of products (large kitchen appliances, bicycles and clothing) with different foci on product longevity are studied in this paper. It reports on a comparison of warranties offered by these companies to address longevity in the products and highlights the commonalities and contrasts in their internal processes and in communicating this information. The findings suggest that the price points at which companies operate and warranties offered are not always comparable. Companies that are working towards differentiating products on longevity and companies that sell at the lowest price points use similar terminology as those used by companies that have longevity in their ethos, but have different meanings. Future interviews with key informants will be used along with this data to explore the role of business strategies to increase the uptake of longer lasting products.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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