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Record W7135855759

In-Store Marketing of Bageterie Boulevard in the Second Half of the Year 2012 Accenting the Linguistic Component of Communication

2015· dissertation· cs· W7135855759 on OpenAlexaboutno aff
Tereza Machová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2015
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsPoint (geometry)Component (thermodynamics)BachelorPoint of saleMarketing researchMarketing communicationQuarter (Canadian coin)Representation (politics)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.362
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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