Bibliographic record
Abstract
Tokyo Jane is an accessible fashion jewelry company that makes and markets its products as “luxury for less” by designing, importing and selling fashion jewelry pieces that look luxurious but cost only a fraction of the high-priced items that inspired them. Finished products are air-shipped to company headquarters in Copenhagen, Denmark from factories in China, stocked in the head office and delivered to 400 retail partners —small fashion boutiques, big department stores and online shops — who then sell to consumers in Europe, Scandinavia, the United Kingdom and Canada. The two partners who founded the firm in 2005 are facing several problems: the brand definition is not well enough developed to support the next stage in the firm’s growth, certain challenges have outstripped available human resources — they have only three permanent employees and a revolving number of interns — and distribution operations and management need to be rethought as the firm rapidly increases the scale of its operations. Things come to a head in April 2013, when they are confronted by an important customer about quality issues with their products. How can they not only save their company but continue to grow?
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.
How this classification was reachedexpand
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.659 | 0.801 |
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; both teacher heads agree on what is shown here.
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".