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Enacting Worldmaking Agency: Navigating and Negotiating Precarious Tourism Work and Lifestyle Mobilities in Lunenburg

2023· article· en· W4389028905 on OpenAlexaffabout
Myra Coulter

Bibliographic record

VenueTourism Culture & Communication · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsMobilitiesAgency (philosophy)NegotiationTourismSociologyWork (physics)Economic geographySocial scienceGeographyEngineeringArchaeology

Abstract

fetched live from OpenAlex

Worldmaking for and through tourism often produces a reality that is advantageous to some populations and suppressive to others. Indeed, the production of precarious and feminized tourism labor is evidence of the tourism industry’s simultaneous reliance upon and re-creation of the system of global capitalism. However, tourism is fundamentally relational, meaning it is constituted by, and relies upon, the very peoples and places it (re)produces. Herein lies the multiplicity and simultaneity of situated tourism life-worlds, as well as the potential for progressive detachment from dominant representations. Ethical worldmaking is presented as a threefold system involving the conception of tourism beyond or outside of global capitalism; the appropriation of our inescapable role in the production of tourism worlds; and the recognition that a multiplicity of tourism community stakeholders simultaneously interprets and shapes tourism worlds according to such intersecting differences as gender, race, class, age, nationality, sexuality, and so forth. Applying this framework to an empirical study, the lived experiences of regionally mobile woman working in tourism provide insight into the tension and contradiction underpinning cultural tourism production in Lunenburg, Canada. Thus, a series of coping strategies are enacted in order to navigate and negotiate their complex positionality, blurring the boundaries between leisure and labor, travel and migration, subjugation and empowerment.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.448
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.310
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.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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