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Enregistrement W6910420289 · doi:10.4225/03/586dc2cfacf7c

Athena's journey: medicine and the feminine

2017· article· en· W6910420289 sur OpenAlexaboutno aff

Notice bibliographique

RevueMonash University · 2017
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWorkforceTriangulationQualitative researchMedical professionWork (physics)CohortFeminism

Résumé

récupéré en direct d'OpenAlex

This thesis is a study of the relationship between medical culture and women doctors. It seeks to answer the question ‘What do women do with their feminine when they become doctors’. The question is important to women doctors, to patients, to workforce planners and to all those who intersect with or are involved in the medical profession. Over the past 30-40 years women have joined the profession in increasing numbers in Australia and other countries with similar cultures such as Canada, the UK and the USA, and now comprise approximately half the medical school cohort and nearly a third of the medical workforce. Introducing women into the previously masculine culture of medicine has a substantial impact on the women, and also on medicine. The research detailed in this thesis identifies some of that impact in ways that will be useful to both women doctors and medical students, and to workforce planners. The study is also an exploration of research methods that are effective in uncovering the comparatively silenced voice of women in medicine. It identifies what can be found by applying the lens of feminist epistemology to medical culture. It explores the knowledges brought forth by three approaches to research, each building on the other, each valid in its own right, and each assisting in identifying what is missing from the other approaches. It uses both quantitative and qualitative method to study the research question. Working with a post-modern feminist epistemology I use triangulation to refine the essence of the findings. The three methods comprise 1) qualitative data from interviews with nine female doctors that focused on their lived relationship between their female selves and their profession, and qualitative data from a national survey of rural doctors focussing on how women express their femaleness in their professional practice; 2) quantitative data from the national survey of rural doctors; and 3) a study of mythology of the feminine and its relation to the history of the construction of medical knowledge in the European tradition on which Australian medical culture draws. In the data chapters findings are analysed wherever possible using all three knowledge sources. Thus the methodology used for this study is actually methodologies. I have used my skills as an historian to locate the story of women in medicine, quantitative survey research to transform anecdote to data, and qualitative interview research as an heuristic device to discover what is really going on, what is possible, and to provide the thematic framework for the data analysis. The unifying theme behind this multi-disciplinary approach is feminist theorising about women, the feminine, power, medicine, authority and knowledge within occidental culture. The theoretical challenge is to bring these disparate ways of creating knowledges to a coherent and defensible conclusion. That is a challenge appropriate for this study, for I am concentrating on uncovering how medical knowledge is created, in whose image is it created, and identifying the consequences of excluding women as co-creators of this knowledge, as experienced by women doctors. The broader question, of the impact of the exclusion of women from the creation of medical knowledge on that knowledge itself, and consequently on patient care, is part of work I do as an academic in the Faculty of Medicine, Nursing and Health Sciences at Monash University. This study then, is researching an important question. The thesis has four Sections, each of which comprises between two to three chapters. Section One has three chapters. Chapter One introduces the study, describes the research approach and contains some information about me, the researcher, that provides context for the research approach taken. Chapter Two considers current feminist challenges to the construction of scientific knowledge and a description of the epistemology, methodology and method used in gathering and interpreting the data for the research. Chapter Three explores myths and archetypes about the feminine, considers what these tell us about the process of wresting the keys of the kingdom from women, discusses the witch-burnings and their impact on women and medical knowledge, and ends with a brief history of women in medicine. Each Section is introduced with a Chapeau that reflects on the data to be considered. Section Two comprises two chapters that describe the impact of the culture of medicine on women doctors, using data from the myths, the interviews, and the national survey. Section Three comprises three chapters that consider the impact women are having on medicine, including the strategies women use to resist some of the adverse effects of medical culture on their female selves, and identifying what women are doing to change that culture. Section Four examines the relationship between women doctors and healing, and the thesis concludes with a consideration of the impact of women on medical culture and practice.

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)0,004
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,032

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0220,038
Communication savante0,0090,007
Science ouverte0,0010,010
Intégrité de la recherche0,0040,007
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,090
Tête enseignante GPT0,417
Écart entre enseignants0,327 · 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'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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
Publié2017
Routes d'admission1
Résumé présentoui

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