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Record W2906469442

Emerging Scholar Profile: Dr. Cinta Sanz-Ibáñez

2018· article· en· W2906469442 on OpenAlexaboutno aff
Cinta Sanz-Ibáñez

Bibliographic record

VenueEreview of tourism research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismDestinationsAgency (philosophy)InterdependenceGeographyEconomic geographyRegional scienceSociologySocial scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Dr. Cinta Sanz-Ibanez is an early career project researcher in tourism at the Research Group on Territorial Analysis and Tourism Studies (GRATET) – Department of Geography, Rovira i Virgili University, Catalonia. She received her Ph.D. in Tourism and Leisure (cum laude) in 2017 from the Rovira i Virgili University, where she previously obtained a M.Sc. (Hons) in Tourism Management and Planning and a B.S. (Hons) in Tourism. Her doctoral research, supervised by Prof. Salvador Anton Clave, was titled “The Evolution of Destinations. An Evolutionary and Relational Economic Geography Approach” [1] The main objective of her Ph.D. thesis was to understand the mechanisms underlying the changes occurring throughout the evolutionary trajectory of tourism destinations, putting attention to the dynamics of place instead of the evolution of tourism activity, one of the prevalent discussions around traditional evolutionary models. To achieve this, it developed an analytical model drawing inspiration on contemporary advances in economic geography – i.e., evolutionary economic geography (EEG) and relational economic geography (REG). The integrated EEG-REG approach took into consideration that multiple interdependent forces produce distinctive evolutionary trajectories depending on the specificities of the destination in terms of contextuality, human agency and path dependence. In so doing, the model addressed destination evolution processes from a non-linear and non-deterministic lens, while embracing the complexity of destination evolution processes and acknowledging the increasing economic, urban and residential functions acquired by consolidated tourism destinations. Cinta has presented and discussed her research at several international conferences including Annual Meetings of the American Association of Geographers (AAG), Nordic Symposiums in Tourism and Hospitality Research, Regional Studies Association (RSA) and International Geographical Union (IGU) sponsored workshops, and the 5 th Global Conference on Economic Geography. Her networking has also been enriched after having the pleasure of doing research stays at Aalborg University (Denmark) and at the University of Girona (Catalonia). Her work has been published in journals including Tourism Geographies and Annals of Tourism Research , and as a Routledge book chapter. She was extremely honoured to receive the AECIT award (Spanish Association of Scientists Experts in Tourism) for the best scientific article in tourism 2015 with the article “The Evolution of Destinations: towards an evolutionary and relational economic geography approach” published in the journal Tourism Geographies. Cinta was invited to act as a reviewer for academic journals including Tourism Geographies , the Scandinavian Journal of Hospitality and Tourism , and Cahiers de Geographie du Quebec . She was also engaged in the elaboration of teaching materials on tourism destination's governance for the Master's Degree in Tourism, Sustainability, and ICT offered by the Open University of Catalonia (UOC). In her role as an active researcher in the tourism field, Cinta plans, on the one hand, to strengthen her expertise on the evolutionary and relational economic geographies of tourism as a means to lead to a more effective analysis of the complex dynamics influencing how and why destinations evolve over time. By further developing and applying these approaches, she strongly believes that valuable inputs and tools for the definition of policies promoting the competitiveness and sustainability of tourism destinations can be provided. On the other hand, she will continue to work towards positioning the analysis of tourism destinations at the intersections of contemporary advances in mainstream economic geography, a cause that has long been defended by scholars in the tourism geography field. In parallel to her research activities, Cinta is currently a Project Manager of the Erasmus Mundus Master on Wine Tourism Innovation (WINTOUR). WINTOUR is a joint programme funded by the European Union in the framework of the Erasmus+ project that is coordinated by Rovira i Virgili University in collaboration with Universite de Bordeaux and Universidade do Porto . In this position, she carries out coordination and management tasks for the proper implementation and monitoring of the programme since its inception in 2015 and provides individual attention and guidance to the students (more than 90% international). Being actively involved in these endeavours represents an opportunity to both gain deep knowledge of how higher education institutions are administered internally and be given the priceless opportunity to get to know highly talented and motivated individuals from all around the globe. Before pursuing a career in academia and in parallel to her university training, Cinta spent close to 7 years acquiring professional experience in the tourism sector, working in the travel distribution and transport industry, as intern in public administrations responsible for the management and promotion of tourism in the south of Catalonia, and participating in the development and management of projects and strategic plans for the sustainable development of tourism in local destinations as a consultant and junior researcher. This much rewarding first-hand experience gave her the chance to acquire a transversal view of the sector’s complex nature and to meet a number of stakeholders, which, in turn, motivated Cinta to orientate her career as a researcher with the purpose of giving them clues for the prosperous and sustainable development of tourism. In her free time, Cinta enjoys looking for new recipes to cook and bake for her beloved ones, planning travels abroad every now and then, and watching her favourite TV series.

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)0.024
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0150.005

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 head0.125
GPT teacher head0.488
Teacher spread0.363 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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