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Record W7120673897

The Complexity of Turistic place in Fortaleza: An Analisys to Praia de Iracema

2007· dissertation· pt· W7120673897 on OpenAlexaboutno aff
Antonio José Castelo Branco Ribeiro

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2007
Typedissertation
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTourismQuarter (Canadian coin)LocalityContext (archaeology)Space (punctuation)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The present study has the objective of analyzing some geographic aspects of Fortaleza city tourist spaces. The reference space is Praia de Iracema, chosen for its prominence in the tourist context of the indicated city. The study took as temporal interval from 1980 to 2007. This is the period in which the tourism activity gained prominence in the state of Ceará economy. The work was carried through observations, bibliographical materials review, and interviews. These procedures made possible the comprehension of the tourist variables that are pertinent to the quarter of Praia de Iracema. The research demonstrated that the understanding of the social and space aspects of the quarter goes beyond the understanding of the locality and that it involves temporal and space questions. The “magnificent” landscape that it is propagated by the promoters of the tourism is embedded of elements that get mixed in space terms and get separated in the social level. It was understood that the problems that took place in the study locality is fruit of a global process that reaches the most diverse parts of the planet. However, it is presented with particularities due to the specificity of such localities and that, in the quarter in of the study, these are well delineated particularities.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.052
GPT teacher head0.323
Teacher spread0.270 · 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.

Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicUrban Development and Societal IssuesFrench-language works237,207