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Heritage Tourism

2022· book-chapter· en· W4298112239 on OpenAlexaff
Alan Gordon

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsTourismCultural heritageCultural heritage managementHeritage tourismNatural heritageIndustrial heritageBattlefieldContext (archaeology)GeographyNatural (archaeology)ValuesTourism geographyDestinationsEnvironmental ethicsHistoryArchaeologyAncient history

Abstract

fetched live from OpenAlex

Abstract Heritage tourism is a form of cultural tourism in which people travel to experience places, artifacts, or activities that are believed to be authentic representations of people and stories from the past. It couples heritage, a way of imagining the past in terms that suit the values of the present, with travel to locations associated with enshrined heritage values. Heritage tourism sites are normally divided into two often overlapping categories: natural sites and sites related to human culture and history. By exploring the construction of heritage tourism destinations in historical context, we can better understand how and through what attributes places become designated as sites of heritage and what it means to have an authentic heritage experience. These questions are explored through heritage landscapes, national parks, battlefield tourism, architectural tourism, and the concept of world heritage.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.168
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1680.055

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 head0.021
GPT teacher head0.224
Teacher spread0.203 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2022
Admission routes1
Has abstractyes

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