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Record W2106656569

Ronit Matalon’s Ethnic Masterpiece

2003· article· en· W2106656569 on OpenAlexvenueno aff
Dvir Abramovich

Bibliographic record

VenueWomen in Judaism A Multidisciplinary e-Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureClanEthnic groupHistoryColonialismCharacter (mathematics)LiteratureGenealogyArtArt historyAnthropologySociologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Ronit Matalon’s debut novel The One Facing Us is at once a coming of age tale and an ambitious, impressionistic family roots saga rich in character and detail that plunges the reader into the sprawling past of an Egyptian family and its adventures in three continents. Through a medley of old photographs and fragments of letters, the 17 year-old rebellious heroine Esther, who is sent from Israel to live with her successful businessman uncle in Cameroon, manages to reconstruct her clan’s wondrous journeys and unearth its disintegration. Uniquely, each chapter is dappled with a family snapshot, followed by the narrator’s attempt to delineate the story within and without the frame. Intermingling post-modernist techniques with meditations on exile, cultural displacement and post colonialism, Matalon’s imaginative and fascinating book (feted by A. B Yehoshua as wonderful and sensitive and sensual) is a fine entry in the ever-growing Israeli canon of tribal-ethnic texts by women.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.003

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 head0.041
GPT teacher head0.328
Teacher spread0.287 · 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 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

Citations1
Published2003
Admission routes1
Has abstractyes

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