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Record W1503809658

Eastern Dreams: How the Arabian Nights Came to the World (review)

2012· article· en· W1503809658 on OpenAlexaboutno aff
Bonnie Irwin

Bibliographic record

VenueMarvels & Tales · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)JargonScholarshipHistoryPlot (graphics)LiteratureArtPhilosophyLawArchaeologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Eastern Dreams: How the Nights Came to the World. By Paul McMichad Nurse. Toronto: Viking Canada, 201 0. 242 pp. For years, scholars have grappled with the questions of which stories actually constitute the 1001 Arabian Nights and where they originated. In Eastern Dreams, Paul McMichael Nurse follows in the footsteps of British scholar Robert Irwin and tries to untangle these mysteries for a lay audience, translating decades of scholarship into readable, jargon-free prose. Scholars will find little new in this book, but for the general reader and fan of the Nights, Nurse tells a compelling story. Because the questions of origin and provenance of the Nights remain unanswered to this day, despite centuries of speculation, Nurse makes choices about which theories to highlight and which to identify as untenable, but overall his approach is evenhanded. This tactic means, of course, that readers finish the book with no more answers than they started with, but at least the rich context of the mystery has been laid out before them in generous detail. Nurse also embeds synopses of the frame story as well as some of the tales to remind us of the general plot lines. One of the greatest values of this book for the general reader is Nurses discussion of the many analogs to the tales as well as the many sequels, re -imaginings, and paths of influence of the 1001 Nights. More than twenty years after Peter Caracciolo's excellent Nights in Engiish Literature (Macmillan, 1988), Nurse adds many more contemporary authors and texts to the vast list of those influenced by the Nights. He also provides brief discussions of postcolonial descendants of the work, such as Mahfouzs Nights and Days and Salman Rushdies Haroun and the Sea of Stories. Because the sphere of influence of the 1 001 Nights has become so broad, Nurse convincingly makes the case that the work, although clearly Arab in many ways, has also become a classic of world literature. So many literary traditions have taken ownership of some version of the text in one way or another, parented by multinational sires and a Muslim mother - literally, in Scheherazade's case - [that] the Nights may owe at least part of its longevity to its development at a time and a place acting as a crossroads between cultures (49). Nurse maintains, however, that most of this cultural exchange took place in the form of written texts passed back and forth, and he largely discounts the possible oral provenance and dissemination of the stories. And, what indeed, constitutes the 1001 Nights? Although Nurse holds out a note of optimism at the end that we may one day know, the idea of a single, authentic text remains a folly. Nurse clearly prefers the more comprehensive collections based on the Calcutta II manuscript to the more limited ones based on the medieval Syrian manuscript edited by Muhsin Mahdi (1984). Nurses argument is that the identity of the 1001 Nights lies in, at least partly, cal the tales that have been attached to it over the years. Translator Husain Haddawy, recognizing this same situation, followed his excellent translation of Mahdi's edition (1990) with a second volume, The Nights II: Sindbad and Other Popular Tales (1995). For an Nights scholar, the more intriguing parts of Eastern Dreams might very well be where Nurse wanders away from explaining provenance and goes into more creative directions, such as drawing parallels between the Nights and Gibbon's Decline and Fall of the Roman Empire: Or perhaps as literary works, the Nights and Gibbon's Decline and Fall are not as far apart as we might suppose. …

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.773
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.037
GPT teacher head0.252
Teacher spread0.215 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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