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Record W2070515416 · doi:10.1080/14927710903526106

Negotiating the boundaries of home in bed-and-breakfast operations in Calgary, Alberta

2010· article· en· W2070515416 on OpenAlexaffvenueabout
Kim E. Kozak

Bibliographic record

VenueLeisure/Loisir · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNegotiationGeographySociologySocial science

Abstract

fetched live from OpenAlex

Abstract The operation of a bed-and-breakfast establishment involves commercializing at least some segments of a domestic space for use by "outsiders" or tourists. This challenges dualistic divisions of tourist and everyday spaces and contravenes the conventional notion of the home as an everyday private space for family. In redesigning the home as a bed-and-breakfast, the spatial organization is changed. This article presents a case study using participatory mapping to answer the question: What is the spatial impact on domestic space when parts of it are commercialized? L'exploitation d'un gîte du passant implique la commercialisation d'aux moins certains segments de l'espace domestique pour l'usage des «étrangers» ou de touristes. Cela remet en question les divisions dualistes du tourisme et les espaces quotidiens, et contrevient à la notion classique de la maison comme un espace privé familial. Selon cette recherche, l'organisation spatiale et familiale est modifiée par le gîte. Cet article présente une étude de cas utilisant la cartographie participative pour répondre à la question suivante: quel est l'impact de la commercialisation spatial sur l'espace domestique? Keywords: tourismhomesocio-spatial organizationparticipatory mappingMots-clés: tourismeespace spatialcartographie participative

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)0.001
metaresearch head score (Gemma)0.000
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 score0.551
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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 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

Citations4
Published2010
Admission routes3
Has abstractyes

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