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Record W4386510527 · doi:10.1515/9781772125184

A White Lie

2020· book· en· W4386510527 on OpenAlexaboutno aff
Madeeha Hafez Albatta

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)PsychologyBiologyGenetics

Abstract

fetched live from OpenAlex

This first narrative in the Women’s Voices from Gaza Series turns the clock back more than ninety years and invites readers on a journey of reimagining a once-upon-a-time in Palestine. Madeeha Hafez Albatta’s story recounts a life of happiness, uncertainty, loss, and also, ultimately, of pride, resistance, and hope. Weaving together many narrative threads, A White Lie unearths a version of history long excluded from mainstream discourse, illuminating a vibrant culture, rich community relations, old traditions, and grand resistance. Madeeha was born and raised in Khan Younis, a town in the southern part of the Gaza Strip, and her life took her, along with her family, across mandatory Palestine to Egypt, Jordan, Syria, Lebanon, Tunis, the United States, Germany, Greece, Austria, and Canada. In 1938, Madeeha had to resort to tricking her family into allowing her to attend college. That “white lie” changed her life forever. She became a teacher while still in her teens and then the principal of a school while in her early twenties. As a teacher and headmistress, a campaigner for rights, an activist and community organizer, a mother, and a champion of dignity, Madeeha witnessed some of the most turbulent periods of Palestine’s recent history. Her narrative preserves minute details of distinctly Palestinian individual and collective life through different eras and regimes. It depicts a vibrant culture, old traditions, customs, and other critical features of Palestinian society that readers rarely encounter. The Women’s Voices from Gaza Series honours women’s unique and underrepresented perspectives on the social, material, and political realities of Palestinian life. Foreword by Salman Abu Sitta.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.899
Threshold uncertainty score0.986

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.222
Teacher spread0.189 · 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
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
Published2020
Admission routes1
Has abstractyes

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