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Enregistrement W4395074287 · doi:10.3389/fevo.2024.1411948

Editorial: Women in conservation and restoration ecology 2022

2024· editorial· en· W4395074287 sur OpenAlexafffundabout
Isabel Marques, Diana J. Hamilton, Myriam A. Barbeau, Clare Morrison, Aliénor L. M. Chauvenet

Notice bibliographique

RevueFrontiers in Ecology and Evolution · 2024
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueForest Management and Policy
Établissements canadiensUniversity of New BrunswickMount Allison University
Organismes subventionnairesFundação para a Ciência e a TecnologiaNatural Sciences and Engineering Research Council of Canada
Mots-clésEcologyRestoration ecologyConservation biologyGeographyFront (military)Biology

Résumé

récupéré en direct d'OpenAlex

Women scientists conduct ground-breaking research across the world. Yet, they made up to only 31.7% of all researchers globally in 2021, according to a recent report from the United Nations Educational, Scientific and Cultural Organization (UNESCO, 2024), and only about 4 % of Nobel Prize laureates for science and medicine were women as of 2023 (The Nobel Prize, 2024). More broadly, the World Economic Forum (2023) reports that while workforce participation (based on LinkedIn profiles) of women and men is approximately equal in non-STEM fields, in STEM fields women represent only about 29% of workers, and the share of women's participation declines as positions become more senior. This is in part due to the "leaky pipeline" phenomenon, in which numbers of women in STEM fields decline progressively from student and early career roles to senior positions (Resmini, 2016). This leaves fewer women available for senior positions and the opportunities and accolades that come at a later career stage. It is also due to deeply entrenched but hidden biases faced by those who remain -which also contribute to the leaky pipeline in a persistent feedback loop. In short, while there are fewer women at senior levels, it is not because they are less competent or less passionate than men. Even accounting for this, women are still experiencing the consequences of unconscious bias throughout their careers. The academic currency for success is publications (preferably in high impact journals), research funding (preferably national and competitive) and esteem (respect and impact in one's field); there is evidence of gender bias in all of these.Women get fewer opportunities for high impact publications. Nature recently published an editorial headlined "Nature publishes too few papers from women researchers -that must change" (Nature, 2024). In it, the authors note that only 17 % of corresponding authors identify as women. They also note geographic differences, with percentages ranging from 4% (Japan) to 22% (United States), and find that acceptance rates among manuscripts sent for review were lower for woman-authored papers (46 %) than for those authored by men (55 %).Women are less likely to apply for competitive national funding (Schmaling and Gallo, 2023). In Canada, for example, according to the most recent funding statistics from the Natural Sciences and Engineering Research Council, only 24% of applicants identify as women, though success rates are similar for women and men (NSERC, 2023). Among early career researchers, women make up 37 % of applicants and 50 statistics are reflected in other countries, such as Australia (Kingsley et 2023), the 51 United States (Rissle et al., 2020), and Kingdom (Head et al., 2013;52 EPSRC, 2022). 53In conservation careers, men influence conservation and science decisions more than 54 women (James et al., 2023) • Global trends in geospatial conservation planning (Cobb et al., 2024). 85While the papers in this collection partly reflect the fields of expertise and backgrounds 86 of the guest editors, we hope that this collection will help foster an international network 87 of women researchers working in conservation and restoration. We aim to provide an 88 impetus for future collaborations and discussions. We also hope that this collection of 89 discoveries helps to support and encourage other women wishing to pursue a career in 90 conservation and restoration ecology. 91The authors declare that the research was conducted in the any 99 commercial or financial relationships that could be construed as a potential conflict of 100 interest.Editors of this Special Issue, we would like to express our deep appreciation 104 to all authors whose valuable work was published under this issue, as well as the time 105and efforts of all reviewers, which altogether, contributed the success of the 106 edition. We are grateful to the many woman scientists with whom we have worked and 107 discussed these important issues. We also thank Julianne M.

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)0,007
score de la tête « metaresearch » (Gemma)0,029
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: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,134

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,029
Méta-épidémiologie (sens strict)0,0060,001
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0040,002
Études des sciences et des technologies0,0040,004
Communication savante0,0120,008
Science ouverte0,0050,002
Intégrité de la recherche0,0210,019
Charge utile insuffisante (le modèle a refusé de juger)0,0400,025

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 Opus0,003
Tête enseignante GPT0,210
Écart entre enseignants0,207 · 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
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

Citations2
Publié2024
Routes d'admission3
Résumé présentoui

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