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Enregistrement W4406047558 · doi:10.5325/nursinghistory.31.0226

<i>Black History Month 2022—Celebrating the Contributions of Black Nurses in Health Care</i>

2023· article· en· W4406047558 sur OpenAlexaboutno aff
Melissa McIntire Sherrod

Notice bibliographique

RevueNursing History Review · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBlack womenBlack historyHealth careHistoryGender studiesSociologyPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

Black History Month 2022—Celebrating Contributions of Black Nurses in Health Care is part of a virtual and curated display that encourages the participant to learn about Black nurses in history, to take a closer look at the significant contributions of Black nurses in Canada, and to celebrate Black nurses across the world who have paved the way to better health care. Co-created by Dr. Lydia Wytenbroek, doctoral student Ismalia De Sousa, and five BSN students, and with the support of the Consortium for Nursing History Inquiry in the UBC-V, the purpose of this flipbook is to share knowledge in a manner that engages the viewer and motivates them to work toward ending racism and other forms of oppression within health and educational systems. The flipbook encourages self-reflection on how historical events and the professionalization of nursing have contributed to current health and social inequities through an easy-to-read, non-biased, visual format. The photographs and copy tell a story of immigration, public health, social reform, and progress in professional nursing.The flipbook is organized in a way that tells the story of ten Black nurses from Canada and other parts of the globe between 1805 and the late 1960s. Interspersed between photos and content related to the background of each nurse are slides with questions that encourage the viewer to consider various ideas such as how racism, segregation, and discrimination affected the nursing profession. Following each question, the viewer will find answers to the question that are intended to stimulate further thought and discussion. Some of the nurses in the flipbook will be familiar to those who have knowledge of nursing history. Others will be less well known. A unifying theme for many of the nurses is that each was known as the first Black nurse to complete various professional milestones. Examples include Mary Mahoney, the first Black registered nurse in the United States, and Cecilia Antyi Makiwane, the first Black South African to graduate from nursing school in 1908. Others are less well known, yet each nurse made a significant contribution to the profession and to the improvement of health care outcomes in their countries.Interspersed throughout the flipbook are archival photos that are visually interesting and provide data to support the stories of each nurse. Documentation of archival newspaper articles, transcripts, birth records, and census data are found throughout. One of the most interesting slides in the flipbook contains census data and a report by Jessie Sleet Scales, a Black Canadian nurse who practiced nursing in the United States. In the report Scales provides a comprehensive list of her duties as a district nurse in New York City. She notes that during October and November, she visited forty-six Black families, and made 156 house calls for illnesses that included consumption, chicken pox, cancer, and diphtheria. She also applied poultices, provided dressing changes, washed and dressed newborn babies, and cared for mothers. The addition of archival data throughout strengthens the overall narrative and provides a depth of understanding that increases viewer interest and engagement.The overarching theme of the flipbook is that racism is a structural determinant of health. This idea is in part attributed by the authors to noted educator and civil rights activist, W. E. B. DuBois, who identified, as early as 1906, the idea that multifactorial social, political, and economic structures explain health inequities. The flipbook examines various examples of racism in Canada as well as other countries to provide a compelling argument supporting these ideas. A comprehensive bibliography is found at the end of the flipbook with links to other websites that encourage the viewer to delve deeper into the subject.The flipbook is easy to navigate, visually interesting, and engaging to the viewer. The questions asked throughout stimulate additional questions and encourage the reader to consider how they can get involved and personally work to eliminate racism in health care. Guiding questions at the end encourage the viewer to reflect, for example, on why Florence Nightingale is considered the pioneer of modern nursing in spite of the examples of Black and indigenous nurses who clearly contributed significantly to professional progress. It is a timely, relevant, easy-to-read resource that students, novice historians, and anyone interested in nursing history will enjoy.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,995
Score d'incertitude au seuil0,439

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0050,001
Communication savante0,0040,002
Science ouverte0,0010,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,1310,025

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 Opus0,067
Tête enseignante GPT0,436
Écart entre enseignants0,369 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2023
Routes d'admission1
Résumé présentoui

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