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Record W2943827374 · doi:10.33697/ajur.2017.015

How to Become a “Real Chicagoan” in No Time: The Promise and Pedagogy of Walking Tourism

2017· article· en· W2943827374 on OpenAlexaff
Jacob Henry

Bibliographic record

VenueAmerican Journal of Undergraduate Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTourismInsiderLiminalityLocalismSociologyAction (physics)ReputationAdvertisingPolitical scienceBusinessPoliticsSocial scienceLaw

Abstract

fetched live from OpenAlex

This study takes seriously the tourist’s desire to feel like a local and examines how walking tour guides work toward fulfilling that desire. The paper examines some of the techniques used by urban walking tour guides to convey local cultural cues. The tourist, armed with these cues, may feel able to fit into a new culture as a quasi-insider. Through qualitative methods, primarily participant observation, the researcher identifies three tactics that guides implement to make the tourist to feel like a local. These tactics are labeled agent alignment, urban alchemy, and material action. These tactics take place within a borderzone, the liminal time-space between insider and outsider status. A successful guide facilitates the border crossing, allowing the tourist to transition from tourist to perceived ‘real Chicagoan.’ However, the unsuccessful guide forces tourists to exit the borderzone unchanged, still as tourists. These findings highlight the uniqueness of walking tourism as a niche tourism and wade into the conceptual milieu of ‘localism’ and ‘the local.’ KEYWORDS: Walking Tourism; Urban Tourism; Tour Guides; Localization; Interculturalism; Urban Alchemy; Agent Alignment; Chicago

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)0.005
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 science0.0010.000
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 head0.061
GPT teacher head0.435
Teacher spread0.374 · 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 designOther design
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

Citations0
Published2017
Admission routes1
Has abstractyes

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