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Record W7135568971

Sponsorship of Česká spořitelna aimed at sport activities

2018· dissertation· cs· W7135568971 on OpenAlexaboutno aff
Šimon Procházka

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2018
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsCzechBachelorOrder (exchange)GuidelineQuarter (Canadian coin)Space (punctuation)Marketing researchMarketing communication
DOInot available

Abstract

fetched live from OpenAlex

Title: Sponsorship of Česká spořitelna aimed at sport activities Objectives: The main object of this bachelor thesis is to evaluate sponsor activities of Česká spořitelna focused on sport. The result of this thesis is a set of recommendations, which will be a guideline for subsequent decision-making of marketing department of Česká spořitelna for the period of 2019 to 2021. Methods: An analysis of secondary data and their mutual comparation was used in order to achieve the goals. Furthermore an individual observance of sponsor activities of Česká spořitelna in 2017 and the first quarter of 2018 were used. The last significant method used was qualitative dialogue with the head of marketing department and consecutive discussion with the members of his department. Results: The results of the research clearly proved than there is a space for improvement of marketing communication depending on sponsor activities. A proposal to improve current situation is included in the thesis. Keywords: marketing communication, Czech Olympic Commitee, Czech Athletics federation, Kolo pro život

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.005

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.

Opus teacher head0.024
GPT teacher head0.358
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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes1
Has abstractyes

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