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Record W4382981931 · doi:10.5539/jms.v13n2p39

The Importance of Preserving and Protecting Natural Resources for the Future of Tourist Destinations in Mexico

2023· article· en· W4382981931 on OpenAlex
Cuauhtemoc Ramírez Zamora

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Management and Sustainability · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFinance, Taxation, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTourismPillarTourist destinationsDestinationsNatural (archaeology)Tourism geographyBusinessNatural resourceKey (lock)GeographyPolitical scienceEngineeringLawComputer science

Abstract

fetched live from OpenAlex

The indicators in tourism planning and activity are a fundamental tool to boost the protection and proper development of tourist destinations, which are considered a national and local key pillar for the economic progress of any place where tourism is applied as an activity. This essay aims to reflect on the importance of preserving tourist and cultural sites, this derived from a growing interest of visitors to experience the culture and traditions of the places they visit around the world. The fundamental pillars of organizations such as the World Economic Forum (WEF) and its recommendations are intended to be valued, considering a potential positive future for tourism in Mexico and the world.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.024
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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