In-Store Marketing of Bageterie Boulevard in the Second Half of the Year 2012 Accenting the Linguistic Component of Communication
Bibliographic record
Abstract
This bachelor thesis describes in-store marketing activities of the czech fast food restaurant chain Bageterie Boulevard. It highlights linguistic aspects of these activities. The thesis deals with a description of used in-store marketing tools during 2014 and the first quarter of 2015 in three chosen Bageterie Boulevard restaurants in Prague. After a short introduction of the company a first part introduces a reader to the problematics of in-store marketing and the problematics of advertising texts. It chooses specific tools and instruments and also sets a theoretic framework for a further description in a second part of the thesis. It looks for basic specifics of fast food restaurants in-store marketing. The second part of the thesis includes a descriptive analysis of chosen aspects itself. It describes a presence and a form of both long and short-term in-store marketing instruments and also written and spoken messages in visible parts of point of sale. Within verbal communication it highlights interesting linguistic components. The thesis also notices differences in store atmosphere within the chosen restaurants.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 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".