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Enregistrement W4210330689 · doi:10.1353/ari.2022.0011

Introduction to Andrea Levy's Selected Excerpts from The Adventures of Mrs Seacole

2022· article· en· W4210330689 sur OpenAlexaboutno aff
Michael Perfect

Notice bibliographique

RevueAriel · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCaribbean history, culture, and politics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAdventureArt historyBiographyArtPortrait

Résumé

récupéré en direct d'OpenAlex

Introduction to Andrea Levy's Selected Excerpts from The Adventures of Mrs Seacole Michael Perfect (bio) In July 2012 Andrea Levy completed a screenplay based on Mary Seacole's 1857 autobiography, Wonderful Adventures of Mrs Seacole in Many Lands. In addition to using Seacole's own text, Levy also drew on Jane Robinson's 2005 biography of her as well as a number of other resources. At the time of writing, Levy's screenplay has been neither televised nor optioned, although this may yet change. Like Seacole herself, Levy's screenplay is full of warmth, energy, and wit; it offers a lively and insightful portrait of a woman who has been voted the "greatest black Briton" (Taylor) but who nevertheless remains unknown to many British people. Indeed, like other projects that Levy worked on in her final years, The Adventures of Mrs Seacole sought to increase public awareness of and interest in neglected aspects of British-Caribbean history. Two excerpts from The Adventures of Mrs Seacole are reproduced below. The first is from the beginning of the screenplay. These opening scenes cover Seacole's arrival at the British military hospital at Scutari, near Istanbul, in 1855. Having applied at the War Office in London to join the nursing contingent famously led by Florence Nightingale, and having been rejected, Seacole has made her own way to the military hospital. At Scutari she encounters Nightingale, who receives Seacole frostily. The second excerpt features scenes from much later in Levy's screenplay. They find Seacole back in London, in 1856. Despite her enormously heroic exploits in the Crimea, Seacole faces obscurity and destitution—until, that is, she encounters some of the veterans who she nursed on the battlefields. As is clear from these excerpts, Levy's screenplay takes issue with Seacole being a frequently overlooked figure and, [End Page 293] in particular, one overshadowed by Nightingale—not just in the mid-nineteenth century but in the contemporary moment, too. Bill Mayblin and I have selected and edited these excerpts for posthumous publication. For a more detailed discussion of these excerpts in particular, the screenplay as a whole, and Levy's late unpublished work more generally, see my article in this special issue. Michael Perfect Michael Perfect is a Senior Lecturer in English Literature at Liverpool John Moores University. His research interests are in twentieth- and twenty-first-century literature and culture. His first book, Contemporary Fictions of Multiculturalism, was published with Palgrave in 2014, and his work has also appeared in The Journal of Commonwealth Literature, The Journal of Postcolonial Writing, The Journal for Cultural Research, Dictionary of Literary Biography, and numerous edited collections. He has written for The Guardian's Higher Education Network and been interviewed on local and national radio. His second book, forthcoming with Manchester University Press, focuses on Andrea Levy. He was the first academic to carry out research on Levy's archive, and his ongoing work on the archive is supported by a BA/Leverhulme research grant. In addition to his work on Levy, he is currently developing a project that relates to screen adaptations of contemporary transnational novels. Works Cited Robinson, Jane. Mary Seacole: The Charismatic Black Nurse Who Became a Heroine of the Crimea. 2005. Constable and Robinson, 2006. Google Scholar Seacole, Mary. Wonderful Adventures of Mrs Seacole in Many Lands. 1857. Edited by Ziggi Alexander and Audrey Dewjee, Falling Wall, 1984. Google Scholar Taylor, Matthew. "Nurse Is Greatest Black Briton." The Guardian, 10 Feb. 2004, theguardian.com/uk/2004/feb/10/britishidentity.artsandhumanities#:~:text=A%20little%2Dknown%20nurse%20who,voted%20the%20greatest%20black%20Briton. Accessed 14 June 2020. Copyright © 2022 Johns Hopkins University Press and the University of Calgary

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,134
Score d'incertitude au seuil0,448

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,1340,068

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,256
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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