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Record W7126301593

Marketing analysis of development conditions of tourism in city quarter Troja

2009· dissertation· cs· W7126301593 on OpenAlexaboutno aff
Dana Hrušková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2009
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsSWOT analysisQuarter (Canadian coin)TourismBachelorRecreationQuality (philosophy)Promotion (chess)Point (geometry)
DOInot available

Abstract

fetched live from OpenAlex

This bachelor thesis was compiled by request of the mayor of city quarter Troja. Its aim is to analyze Troja's cultural and natural potential and to point out neglected places of interest, so far standing in shadow of Prague ZOO, Botanic garden and Castle Troja. The main purpose of the thesis is to offer particular possibilities for improving the level of promotion of individual objects and thereby disperse visitors all over the territory. The concept and length of the thesis were adjusted to submitter's requirements; therefore there is no usual division into theoretical and analytical part. It consists of several chapters analyzing Troja from different points of view: cultural and natural heritage, sport and recreation possibilities, transport infrastructure, the level and quality of accommodation and food and beverage facilities and finally from the viewpoint of promotion. Each section contains pregnant SWOT analysis and particular recommendations after introduction to the individual issue.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.018
GPT teacher head0.359
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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