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Record W3092164029 · doi:10.35632/ajis.v21i3.1786

Caravanserai

2004· article· en· W3092164029 on OpenAlexaboutno aff
Katherine Bullock

Bibliographic record

VenueAmerican Journal of Islam and Society · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsStorytellingTragedy (event)Media studiesFace (sociological concept)HistorySociologyGender studiesNarrativeArtSocial scienceLiterature

Abstract

fetched live from OpenAlex

A cavaranserai was an inn where travelling Muslim merchants would gatherat night to relax after a hard day’s journey, share meals, and tell stories toeach other. These themes of travelling and storytelling set the scene forHanifa Deen’s wonderful book about these people, who, originally travellersthemselves, arrived on the continent around the eighteenth century.Moreover, the book is a story of Deen’s journey around Australia to collectthe stories of her fellow Muslim compatriots.Caravanserai was originally published in 1995. The impetus behindthe book was Deen’s sense during the first Gulf War (1991) that Muslimsin Australia did not have a human face – they were known by the generalpublic only through negative stereotypes. She sought to tell some of theirstories to show that Muslims, just like any other group, were human beings who “mow their lawns, are preoccupied with losing weight, worryabout their jobs and mortgages, play sport, swap jokes or tell their childrenbedtime stories” (p. 8). She set out across Australia to collect theirstories.At the time, Deen found that Muslims were making their way inAustralia, becoming more accepted by the wider community and establishedas one of many others in Australia’s multiethnic, multireligious society.The 9/11 tragedy changed all that, and Muslims in Australia, as in otherwestern countries, found themselves treated as “enemy aliens.” Believingthat the clock had been set back, the author felt an urgent need to retraceher steps to find out how her country’s Muslim communities were faring.The result of the second journey appears as part 4, and its three long chaptersmake up nearly one-third of the book.Deen writes that she was asked time and again what kind of book shewas writing and, surprisingly, found that answering this question wasrather difficult. As she travelled, met people, and collected their stories, thestyle of Caravanserai emerged: part storytelling and part commentary.This combination has served her well, for her renditions of her interviewees’stories are beautifully written. She describes the people she meets, thescene and ambiance of their meeting, and her thoughts and emotions as sheretells their stories. She writes so well that I often felt that I was in theroom with her, interacting with the people around her. This was all themore poignant for me, since I am an Australian from Perth, like her, butwho became Muslim only after emigrating to Canada. Deen’s stories connectedme with the Muslim community in Australia that I have neverknown ...

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.547
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5470.205

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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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.

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

Citations0
Published2004
Admission routes1
Has abstractyes

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