Bibliographic record
Abstract
Cadbury is a world-renowned manufacturer of confectionary products (candy/sweets, biscuits/cookies and the famous Cadbury creme eggs) and was founded by a Quaker family in 1824 in the UK. The company acquired Schweppes line of tonic water and related products in the late 1960s. Cadbury Schweppes went on to acquire Sunkist, Canada Dry, Dr. Pepper, Snapple, and Royal Crown over the years. In March 2007, it was revealed that Cadbury Schweppes was planning to split its business into two separate entities: one focusing on its main chocolate and confectionery market; the other on its US drinks business. The demerger took effect on May 2, 2008, with the drinks business becoming Dr. Pepper Snapple Group, Inc. In 2010 Cadbury was acquired in a controversial hostile takeover by Kraft Foods. The acquisition of Cadbury faced widespread disapproval from the British public, as well as groups and organizations including trade union Unite, who fought against the acquisition of the company which, according to then Prime Minister Gordon Brown, was very important to the British economy.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 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".