Notice bibliographique
Résumé
Toasting Friendships, Laying Down Memories in Wexford, Ireland J. R. Patterson (bio) Click for larger view View full resolution IN 1972 THE Irish poet Seamus Heaney drew a line under Northern Ireland, moved south to the Republic, and settled in a cottage in County Wicklow. From his experiences in those first years living on the southeast coast came his book Field Work, an elegiac rumination on loss, friendship, reunion, and country life. During an extended stay with friends in the south-coast Irish town of Wexford, the first poem of that collection, "Oysters," continuously rapped on the doorway of my mind: "And there we were, toasting friendship, / Laying down a perfect memory / In the cool of thatch and crockery." Inclined though I was to stay home, sharing in the local seafood, my friends pushed me outside and onto a bicycle. And so, to North Slob to swim with harbor seals on the strand at Curracloe; to Forth Mountain, our fingers magenta-hued and probing the brambles for just one last blackberry; to a hurling match, the game a maker of champions and heartbreak; to restaurants and opera halls, pubs and castles and fields; always on my lips the sparkling tang of fun and freedom and laughter. The landscape of County Wexford is rolling and bookish. The coast is a recurring setting/nonsetting for the art-writing of John Banville, including his Man Booker–winning The Sea. Colm Tóibín, from nearby Enniscorthy, set his The Heather Blazing and The Blackwater Lightship in the inland countryside. Less prestigious but more notable, the original Guinness Book of Records was conceived here, after an argument about the speeds of different game birds couldn't be settled. Banville, speaking of his childhood in Wexford, considered the town "no more than a staging post on my way elsewhere." Like Chekhov's Irina in Three Sisters, he was "immured in the provinces and yearning for the magic of Moscow." Undoubtedly, the provincial is cast in stone here, and cosmopolitan Dublin feels worlds away. Tractors growl through the streets. Pastures grazed by bony Holsteins retain their toehold on the edge of town. Narrow sidewalks and private roads are a problem. And roadside litter implies some delinquent reaction against Wexford's nickname, "the Model County." But there is information in everything, and litter at least tells a little about what people do while out for a stroll. Wexicans seemed to take their air while putting in eye drops, eating pint pots of yogurt, and drinking cans of Dutch Gold lager. In the large, glass-walled library, I found books stuck with beer coasters and unsent letters. More often, when I needed a book, I strolled down to Reader's Paradise or Red Books, where the shelves heaved and the air was tinged with the old-paper scent of vanilla and hay past its due date. Red's proprietor, Wally, had a recommendation for any mood and a good memory for his quarter million books; I came away with Kundera, Sartre, Munro, Rushdie, and Anaïs Nin. Each morning, I woke up glowing. I knew I could count on the certitude of my morning coffee, on the rising pink sky, the warmth around me . . . and all the other necessities of deep leisure; I was immured in a "glut of privilege" and longed for nowhere else. Through it all, "Oysters" whispered in my ear. What to Read along the River Slaney John Banville The Sea Picador Álanna Hammel Cruel & Vicious Red Books Press Nicolas Furlong Young Farmer Seeks Wife Mercier Press Billy Roche The Wexford Trilogy Nick Hern Books Wexford Women Writing Undercover Ed. Deirdre McGarry-Barker Red Books Press [End Page 80] J. R. Patterson J. R. Patterson was born on a cattle and grain farm in rural Manitoba, Canada. He has worked as a farm laborer, factory worker, and writer. He has written for a variety of international publications, including National Geographic, Literary Review of Canada , and LARB. Copyright © 2023 World Literature Today and the Board of Regents of the University of Oklahoma
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,014 | 0,008 |
| Communication savante | 0,010 | 0,005 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,003 |
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 source (Gemma direct ou Codex distillé), 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 ».