Lamborghini brand sharing and cigarette advertising
Bibliographic record
Abstract
Licensing and brand sharing arrangements, where a fee or royalty is paid for use of a name, is a common strategic consideration to provide a newly introduced product or service with an immediate and proven brand identity (table 1).1 Serving as such an example, Korean Tomorrow and Global (KT&G), which is South Korea’s leading tobacco firm, launched a new cigarette brand, Tonino Lamborghini, on 18 April 2012, where the branding resembles the legendary Italian luxury sports car maker (figure 1A,B).2 3 According to The Moodie Report , it took 1 year of negotiation to reach a brand licensing agreement and 3 years to develop the cigarette product.4 The cigarette brand was initially offered in two variants, L8 (predominantly black package) and L6 (predominantly yellow package), with reported tar deliveries of 8.0 mg and 6.0 mg, respectively. Compared with KT&G’s other product offerings, Tonino Lamborghini cigarettes have considerably higher reported tar deliveries and such product characteristics contribute to the brand’s masculine, powerful and assertive image.4–8 Tonino Lamborghini now offers additional brand variants, including ‘Ice Volt’ (figure 2), which is mentholated and has promotional claims that the product possesses ‘the thrilling taste of powerful cooling freshness,’ and ‘Ice Tornado,’ which is described as having a strong, fresh and cool flavour and …
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.062 | 0.012 |
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".