Notice bibliographique
Résumé
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...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».