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Record W273120330

My Name Is Osama

2002· article· en· W273120330 on OpenAlexaboutno aff
Sharifa Alkhateeb, Steven S. Lapham

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsnobodyHistoryActive listeningPoetryArtArt historyLiteraturePsychologyCommunicationComputer science
DOInot available

Abstract

fetched live from OpenAlex

I can't reach the top of the little apple tree any more. Me and Bebe planted it when it was just a green stick. Bebe is my grandmother. I was five years old then. I am twelve now. In the fall, these flower buds will be apples, but I won't be here to pick them. I give old man Mansoor six dinars for bread for my whole family, for our goodbye dinner. All of my cousins will be there, fifteen of them. That will be fun. And sad. I eat a flat little loaf on the way home. Nobody will care. It smells great and the birds are singing. Walking home I stop at our best swimming spot. Our place: Qais and me. Mother says the Euphrates River is not clean, but we don't care. We strip down to our boxer shorts and jump in on hot, hot days. We sit on the rocks and make up stories about our name-sakes who lived a thousand years ago. Osama was a leader of youth. He was kind and strong. My great grandfather was also named Osama. Qais, the famous one, read poetry late into the night to his beloved, Layla. The Qais I know is a poet too. He imagines the two girls we will someday marry, and both of them are beautiful. I am glad Bebe is still asleep this morning at our house and cannot see me listening to the water. Smelling the bread. Touching apple blossoms. She always says, Poets die poor. Be strong like your namesake! It was only two weeks ago. Father has just finished building the new house and we have just moved in. I guess it stood out or something because he did not use old bricks. It is three AM and the soldiers tell my father to put up on the wall right now this slick poster of Saddam Hussein. My father does it. They search through everything in our home, messing it up with their sticks. They take the brass bowl with Mother's earrings in it. Then they leave. Father says, Go back to bed. He has a dark bruise on his cheek. Two weeks after the soldiers came to our house we are in Algeria. We said goodbye to our family, our friends, my school. To old man Mansoor the baker. We live in Turkey for half a then in Canada, staying in these tiny apartments. I practice my English. I'm thirteen years old and I'm very excited when our jet circles over New York City, in America, land of the free and home of the brave. I want to hang up the photos in frames of my cousins and friends in Iraq on the wall but my father says, No nails. not your your Uncle wall. I share Mohammed's room. Mohammed is my six-year-old cousin. Father works at night in a big restaurant. We have breakfast together, and he practices his English which is not as good as Mother's. Mother works days at the drug store. Maybe we can have an apartment of our own next year, says Mother. Todd says, mom is a rag He doesn't know my mother has a Ph.D. in pharmacology. She taught my pediatrician at Baghdad University. Todd says, father forces your mother to wear the bag on her head. Your father must be a bully. My mother wears a hijab because she likes to. But I don't say anything to Todd. He bugs me and says bad words. I ignore him. But then after September eleventh he gets really mean and it starts to make me really mad. What he says is this: Osa-ma! The hallway is crowded before lunch and Todd is with two other boys. Hey. Osama Yo Mama, he says, Is that dynamite under your shirt? Your mother wears a hood because she is a Your mother is a terrorist. Something breaks in me and I turn around and push Todd hard and he falls against the locker and sits on the floor and a thin line of blood is on his upper lip. I look for the other two boys to come at me with their fists but they just stand and stare. At me. The hallway has stopped moving and everybody nearby is quiet. Mr. Allen looks at me hard from across his desk. He is quiet for a time and then says, Fights are not tolerated in this school. …

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)0.001
metaresearch head score (Gemma)0.004
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 score0.537
Threshold uncertainty score0.660

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.5370.309

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 head0.054
GPT teacher head0.287
Teacher spread0.233 · 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
Published2002
Admission routes1
Has abstractyes

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