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Enregistrement W4283763735 · doi:10.1093/humrep/deac107.681

P-735 Exploring representation and inclusivity in fertility and reproductive health societies’ leadership

2022· article· en· W4283763735 sur OpenAlexaboutno aff
Nafisat Ohunene Usman, Bola Grace

Notice bibliographique

RevueHuman Reproduction · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDiversity and Career in Medicine
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFertilityDiversity (politics)Reproductive healthReproductive medicineEthnic groupPolitical scienceGender diversityPublic healthCorporate governanceGender studiesSociologyDemographyMedicinePopulationLawManagementBiologyNursingPregnancy

Résumé

récupéré en direct d'OpenAlex

Abstract Study question How diverse is the board-level executive leadership of the leading fertility and reproductive health societies in Europe, Australia and North America? Summary answer There is good gender diversity among the reproductive health societies included in the study, with limited ethnic diversity. What is known already Reproductive health societies promote understanding and interest in reproductive biology and medicine. They are leading authorities, providing guidelines, opinions, and direction to practitioners, policy makers and the public. Membership on these societies’ board is a marker of influence and prestige. Many societies have clear Equality and Diversity Statement on their website, suggesting that they value representation of members from whom they obtain fees. This study presents a quantification of the executive leadership demographic diversity of major fertility and reproductive health societies in Europe, Australia and North America to evaluate diversity in governance. Study design, size, duration We conducted a review of the websites of ten leading fertility and reproductive health societies in the Europe, Australia and North America to quantity gender and ethnic diversity. Data analysis was conducted on the information obtained in January 2022. We included the executive leadership team /governing board members but excluded subgroup leaders or special interest group coordinators. Participants/materials, setting, methods Organisations reviewed include: American College of Obstetricians and Gynaecologists(ACOG), American Society for Reproductive Medicine(ASRM), British Fertility Society(BFS), Canadian Fertility and Andrology Society(CFAS), European Society of Human Reproduction and Embryology(ESHRE), The Fertility Society of Australia and New Zealand(FSA), International Federation of Obstetrics and Gynaecology(FIGO), The Royal Australian and New Zealand College of Obstetricians and Gynaecologists(RANZCOG), Royal College of Obstetricians and Gynaecologists (RCOG), and The Society of Obstetricians and Gynaecologists of Canada(SOGC). Main results and the role of chance Proportion for each demographic group at the time of the study are summarised below; where n = total number of board members; Gender: W= women, M= Men; ethnicity: Wh = White, B = Black and A = Asian. In total, the number of board level/executive leadership members, responsible for governance in the societies reviewed were 112. Gender diversity was 41% Men, 59% Women, while ethnic diversity was 82% White, 3% Black and 15% Asian. It is encouraging to see the gender parity in the executive leadership of the organisations review, there remains an important need to improve ethnic diversity in order to better represent the membership and wider community they serve. This has implications for role-modelling, equity, minimising the negative impact of groupthink and reaching/giving underrepresented group a voice. Limitations, reasons for caution Results presented are based on a snapshot at the time of review. Organisations periodically change leadership. Additionally, gender identification is based on self-identification in individual’s profile biography. Wider implications of the findings As reproductive health organisations continue make extensive contributions to the field, it is important for their leadership to represent the diversity of members and wider population they serve. There remains a need to move beyond diversity and equality statement to actively deploy policies and processes to improve and monitor representation. Trial registration number not applicable

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,331
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,352
Tête enseignante GPT0,380
Écart entre enseignants0,028 · 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 tête enseignante, pas un consensus.

Devis d'étudeQualitatif
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
Publié2022
Routes d'admission1
Résumé présentoui

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