MétaCan
Menu
Back to cohort
Record W7000256354

Estrategias de transformación de una economía tradicional excluida a una economía asociativa basado en el ecoturismo como estrategia de desarrollo sustentable para zonas marginadas: Caso zona semiárida de Tamaulipas, México

2017· article· en· W7000256354 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsEcotourismGovernment (linguistics)SustainabilitySustainable developmentProcess (computing)Control (management)
DOInot available

Abstract

fetched live from OpenAlex

The Government of Tamaulipas, Mexico has sought to promote sustainable development in the semi-arid area through the ecological tourism. But since there were cases of success and failure resulting from the implementation of ecotourism, arises the question: what are the successful development strategies on ecotourism taken by the State, the community and investors, which must constitute a system of inter-municipal management relating to ecotourism as a regional development strategy?. Research whose goal was the construction of an ecotourism that transforms a traditional economy excluding an associative economy concerning inter-municipal management system was developed to answer the previous question. Using the systemic archetypes and arguing the five disciplines of learning organizational analyzed structures that make up the process of planning and control of ecotourism, as well as their circles of load and displacement in areas that have set up an ecotourism with results concerning sustainability (Arenal, Manuel Antonio Costa Rica and Niagara Falls, Canada). Determining the degree of organizational learning in the semi-arid area proposed strategies and a system for managing ecotourism inter-municipal so looking for a transformation an associative economy-oriented.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.307
Teacher spread0.286 · 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 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDialnet (Universidad de la Rioja)Same topicRegional Development and InnovationFrench-language works237,207