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Micro‐narrative and the Historiography of the Modern Middle East

2011· article· en· W2149877450 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHistory Compass · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMcGill University
FundersUniversity of California, San DiegoMcGill UniversityUniversity of OxfordYale University
KeywordsHistoriographyNarrativeColonialismScholarshipModernityRepresentation (politics)OrientalismHistoryAestheticsNationalismArabicMiddle EastLiteratureArtPoliticsPolitical sciencePhilosophyLinguisticsArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract Most recent scholarship on the early‐20th‐century Eastern Arab World ( Mashriq ) has been preoccupied with locating the words and actions of historical actors into one or more of three overarching and interconnected (post‐colonial) themes: colonialism, nationalism, and modernity. As a result, historians have produced very few micro‐narratives whose protagonists are individuals from the region and which take as their starting point the prosaic concerns of daily life. What explains this historiographical trend? The relative scarcity of micro‐narratives is due to a number of factors, including challenges in using particular genres of Arabic source‐materials, as well as the impact of Edward Said’s Orientalism generally and post‐colonial concerns about narrative as a mode of representation in particular. Two fragments from the life‐story of an early‐20th‐century Arab soldier are introduced in order to show how these factors play out in the crafting of a micro‐narrative.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.861

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.082
GPT teacher head0.226
Teacher spread0.144 · 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