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Record W2093254456 · doi:10.1080/1743873x.2014.985226

Repurposing colonial tea heritage through historic lodging

2015· article· en· W2093254456 on OpenAlexaff
Mohamed Aslam, Lee Jolliffe

Bibliographic record

VenueJournal of Heritage Tourism · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of New Brunswick
FundersSabaragamuwa University of Sri Lanka
KeywordsTourismCultural heritageIndustrial heritageRepurposingColonialismCeylonBusinessWork (physics)Heritage tourismCultural heritage managementEconomyGeographyHistoryArchaeologyEngineeringAncient historyEconomics

Abstract

fetched live from OpenAlex

A number of types of lodging and leisure facilities were associated with the colonial tea industry in Ceylon (today Sri Lanka), including clubs for the planters' and the houses and bungalows of the managers and staff on the tea estates. Today some of these built heritage remains of the tea industry have been repurposed as heritage lodgings for tourists. Taking as a case study the tea-producing hill country of Sri Lanka, this paper identifies the heritage accommodations related to the legacy of the tea industry and discusses their role in heritage tourism, interpreting the region's tea heritage and industry to contemporary visitors. The paper draws from previous research on “tea character accommodations” and subsequent field-work in the region with tea lodging operators and tourism officials, focusing on operational challenges faced in repurposing historic lodgings for contemporary visitors. Lessons are offered for the sustainable reuse of built heritage associated with agricultural activities for the purpose of heritage lodgings.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.065
GPT teacher head0.350
Teacher spread0.285 · 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 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".

Quick stats

Citations26
Published2015
Admission routes1
Has abstractyes

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