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Record W4285264958 · doi:10.1353/ner.2022.0037

Nobody Gets Lost in Beirut

2022· article· en· W4285264958 on OpenAlexaboutno aff
Inaya Jaber, Karen McNeil, Miled Faiza

Bibliographic record

VenueNew England review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsnobodyBeautyHistoryCartographyArtGeographyAesthetics

Abstract

fetched live from OpenAlex

Nobody Gets Lost in Beirut Inaya Jaber (bio) Translated by Karen McNeil (bio) and Miled Faiza (bio) Nobody gets lost in Beirut. It’s a city that you can cross, one side to the other, in less than an hour. People may get lost in Cairo, in Rabat, in the Gulf. In Europe, people get lost. In a lot of places, you need a map to not get lost. But little Beirut, the Beirut that most of you know—and that I know by heart—always has a route to where you want to go; there is always an opening on the horizon. I remember when I got lost in Canada, how I stood confused by the wall of water in Niagara, cursing the false beauty that got me lost. Because of that same false beauty in the States, and in France, Italy, Greece, and Spain, it’s easy to lose your way if you’re not carrying a map, if you don’t pay attention to the entrance and exit signs. There are no entrances and no exits and there are no maps in Beirut: a clear advantage of a city of wombs and embraces. Beirut is one big embrace. An embrace, that’s what people are all looking for, where they can be hugged and rocked in her warmth. A womb that embraces residents and foreigners, small children and adults, innocents and villains. In the sound of your footsteps on the sidewalks here, you tell yourself, secretly: this is what I am looking for. You walk in an invisible vastness, and you walk in a languid beauty. Beirut’s beauty is drowsy and languid, and that is the most beautiful kind. The gray sky has started to settle now. You think about staying home, to hide your physical presence from the streets. You think about spending the entire day thinking about nothing. Or you stay in your room thinking about something without knowing that you are thinking about it. It seems a bit of a depraved idea, as if you can’t really stay at home in Beirut unless there is something dangerous going on outside. Unless Beirut is hurting you and you can no longer bear it. In fact Beirut really is causing us pain, but it is a light pain, a pain that stings sharply but fades away quickly. It is the pain that makes us leave her. But her civil war and the Israeli wars were not enough to force us to leave her streets; even as we were crossing from the east side and west side under the sound of artillery and the buzzing of airplanes and all that the warships could throw at us. [End Page 53] All of us here think that our home is the center of Beirut. It’s natural for each of us to think this way, that our home is a center point: we go out to Hamra Street, then Ain Al Mraiseh, and we continue our way on the sea road toward Achrafieh, and we don’t go up anymore after that, but we start to descend toward the side of the Al Roum Hospital until we find an entrance to Al Barbir, then Al Basta, and finally Khandaq Al Ghamik. This is not all of Beirut, but nobody gets lost in Beirut. You continue with a wise turn toward the arrondissement Bechara al-Khouri, Sodeco, Ras Al Naba’a, then it will only be a short time until you reach Dahieh Al Janubiya. You leave it by the airport road, Bir Hassan, then Al-Basta and Msaytbeh, then you enter by the side of Saeb Salam’s house toward Karakol el-Druze. This too is not all of Beirut, but nobody gets lost in Beirut. There are other sides that disperse and diverge, and you can reach her through side streets and alleys. She surrenders willingly, revealing her entrances and even her womb for us, and for you as well: the stranger, protected by a warm embrace. And nobody gets lost in Beirut. It rains a lot in winter, as it has lately. You keep walking with indifference, leading your body in a staggering path...

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.840
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.325
Teacher spread0.292 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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