MétaCan
Menu
← Back to cohort
Record W2761155913 · doi:10.21933/j.edsc.2017.13.210

Turismo, un objeto de estudio: propuesta metodológica a partir de la mirada de los investigadores

2017· article· es· W2761155913 on OpenAlexaff
Celeste Nava Jiménez, Dominic Lapointe, Marcelino Castillo Néchar

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsHumanitiesTourist destinationsGeographyTourismPolitical scienceArtDestinations

Abstract

fetched live from OpenAlex

El presente trabajo de investigación muestra el resultado de la recopilación de encuestas realizadas a distintos investigadores en el área de turismo en México, Argentina, Brasil y Canadá. El principal objetivo, es la aproximación de una metodología para construir el turismo como objeto de estudio a través de la mirada de los investigadores en turismo, en función del proceso de construcción de los objetos de estudio en el turismo, así como sus implicaciones metodológicas en la investigación del fenómeno. El resultado de esta investigación se presenta de acuerdo con los siguientes a apartados: a) La construcción de objetos de estudio y el método en la investigación turística, b) Revelaciones sobre la transdisciplinariedad del turismo como objeto de estudio, y c) Reflexiones iniciales hacia una propuesta coimplicada en la constitución del turismo como objeto de estudio.

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)0.034
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.009
Science and technology studies0.0050.015
Scholarly communication0.0150.008
Open science0.0030.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.261
GPT teacher head0.598
Teacher spread0.336 · 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 designQualitative
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 venueDOAJ (DOAJ: Directory of Open Access Journals)→Same topicDiverse Aspects of Tourism Research→French-language works237,207→