MétaCan
Menu
Back to cohort
Record W4392516096 · doi:10.1093/ssjj/jyae001

Ryokan: Mobilizing Hospitality in Rural Japan

2024· article· en· W4392516096 on OpenAlexaffabout
Millie Creighton

Bibliographic record

VenueSocial Science Japan Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHospitalityBusinessPolitical scienceTourismLaw

Abstract

fetched live from OpenAlex

Ryokan: Mobilizing Hospitality in Rural Japan is a well-researched, well-situated, and well-developed book about work; work in the context of Japanese culture, the values, and idioms of work into which Japanese are socialized, the gendered nature of work, and how this relates to other gender expectations underlying Japanese social practice. Japanese values surrounding the nature of work are elucidated from the opening cultural vignette set in a family-run ryokan (traditional Japanese-style inn). Despite the head of household having a medical emergency, work must go on because there is work to be done, and so the medical emergency is hidden from the inn’s guests. The Japanese individuals portrayed are not unfeeling towards their family member or the drama and potential tragedy unfolding, but the episode reflects the value placed on the idea that people need to focus on doing the work that needs to be done. This orientation emphasizes carrying on, in a manner that not only gets the work done but can often carry people through emotional distress and grief because they have a job to do. As a book about work in Japan, this work joins a long tradition of important ethnographic explorations of work in Japan, some of which deal with the until recently well-entrenched permanent employment system, others with small companies, artisan work, or other work settings in Japan.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.020
GPT teacher head0.343
Teacher spread0.323 · 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 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueSocial Science Japan JournalSame topicSocioeconomic Development in AsiaFrench-language works237,207