Strategy; Theory and Practice
Bibliographic record
Abstract
Case Ricola; Who invented it? The Swiss family-run company Ricola has been producing and selling herb cough drops for almost a century using high-quality herbs grown in the Swiss mountains in over 50 countries around the world. Ricola cough drops offer temporary relief for sore throat, throat irritation, or coughing. According to the company, the cough drops combine Ricola`s secret blend of 10 Swiss herbs with a cherry syrup center to provide rapid relief from sore and irritated throats (www.ricola.com). Ricola, which was been named the most trusted Switzerland brand on several occasions, enjoys global recognition with its famous Riicolaa yodeling or Who invented it? ad. The export-orientated company has experienced positive business performance, especially in 2019 when it had above-average growth in the USA and Canada, due to increased market share. Thomas Meier, who took over as CEO in 2019, announced his commitment to "continue the business of the traditional company according to its strong values". With creative ideas and innovative developments to ensure continued global growth. However, recently the company had to use influencer marketing to increase its customer base due to 40% sales decline during the pandemic, as fewer people caught colds and flu.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".