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Enregistrement W7128247697 · doi:10.1093/biosci/biaf130

Diversity in evidence

2025· article· en· W7128247697 sur OpenAlexaboutno aff
Charles B Fenster, Lauren Esposito

Notice bibliographique

RevueBioScience · 2025
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueMeta-analysis and systematic reviews
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDiversity (politics)PopulationSalientFace (sociological concept)Riparian zoneNarrativeBorealNatural (archaeology)

Résumé

récupéré en direct d'OpenAlex

Editor-in-Chief, BioScience Editorial Board, BioScience The August issue of BioScience expansively addresses concerns of our community. As such, this issue reflects a diverse population of authors with input from our equally adept editorial board and knowledgeable and committed reviewers. Apropos of the haze that currently drifts over the Prairie Coteau from the forest fires in Manitoba is a Book Review by Pausas, “Fires in the Petrocene” (https://doi.org/10.1093/biosci/biaf007) of Valiant's Fire Weather: A True Story from a Hotter World. The book is a narrative of the 2016 Fort McMurray wildfire in Alberta, Canada, which burned 600,000 hectares of boreal forest and caused great damage to the oil town. The book serves as a salient reminder of the great cost we face if we ignore the exploitation and overuse of crude oil. Another human-caused environmental catastrophe in the making is the misuse of the Colorado River. In their Letter, “Reimagining river governance: Insights from the Colorado river crisis”(https://doi.org/10.1093/biosci/biaf037), Fernandes and colleagues discuss the challenges of and potential solutions to addressing transboundary riparian systems. The type specimen defines a species, and Azevedo-Santos and colleagues in their Viewpoint, “Conserving the type locality hotspots” (https://doi.org/10.1093/biosci/biaf024), assert the importance of conserving the type locality, especially where the first types of many species were collected. They make a strong case for the preservation of type localities, which, among other reasons for conservation, can “provide additional material to assist in determining the identity of a species.” Continuing with collections, it is certainly the case that new tools for more efficiently accessing the immense data stored in biological collections are critical for our interpretation of changes to life on Earth. In their Biologist's Toolbox article, “Hespi: A pipeline for automatically detecting information from herbarium specimen sheets” (https://doi.org/10.1093/biosci/biaf042), Turnbull and colleagues describe a new tool they have developed for detecting and digitizing information contained on herbarium sheets. Considering extinction, Wallach and Lundgren, in their Overview article, “Review of evidence that foxes and cats cause extinctions of Australia's endemic mammals” (https://doi.org/10.1093/biosci/biaf046), make a strong case that these invasive species have played a limited role in the loss of Australia's charismatic mammals. In another Biologist's Toolbox, Anderson and colleagues explore the “key developments in ecological drone science since 2013” and offer “a critical evaluation of drone futures for ecologists” in “Drones in ecology: Ten years back and forth” (https://doi.org/10.1093/biosci/biaf069). They discuss “how the next decade of experimentation by ecologists will shift further into the volumetric (i.e., three-dimensional [3D] sampling or sensing) domain.” The importance of nature to human health is the focus of Soga and Gaston's Overview, “Health benefits of viewing nature through windows: A meta-analysis” (https://doi.org/10.1093/biosci/biaf089). This article describes the broad swath of effects that can be afforded by a well-placed window, and one of us has a fundamental, innate, and intimate connection to the topic. Turning to how we teach and conduct science, we have an Education contribution “The Graph Construction Competency Model for Biology (GCCM-Bio): A framework for instruction and assessment of graph construction” (https://doi.org/10.1093/biosci/biaf060) by Abraham and colleagues. Although graph construction is fundament to how we conduct and present science, they cogently argue the importance of graph construction for education and describe a framework of the components and classroom activities associated with graph construction. By doing so, they hope to advance competence in reading and building graphs for students of all ages. In a Professional Biologist contribution, “Beyond diversity initiatives: Building a community of care in scientific societies” (https://doi.org/10.1093/biosci/biaf065), Tanner and Wilsterman provide a critique of academic society DEIJ (diversity, equity, inclusion, and justice) activities. Although these activities have been helpful, they discuss that often “the specific cultural values that are problematic and need changing are rarely made explicit” and that doing so would facilitate DEIJ goals. One of the continuing challenges to DEI is sexism, as is discussed by del Giogio and colleagues in their Viewpoint, “Systemic sexism in academia: An early-career viewpoint” (https://doi.org/10.1093/biosci/biaf076). Based on personal experience, they share the main hurdles that early-career women researchers face across institutions and continents. They also discuss these issues in the BioScience Talks podcast, https://bioscience-talks.aibs.org/episodes/systemic-sexism-in-academia-with-olivia-del-giorgio-maria-piquer-rodriguez-and-silvia-lomascolo. We must do better.

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)0,087
score de la tête « metaresearch » (Gemma)0,064
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0870,064
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,005
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0030,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,928
Tête enseignante GPT0,604
Écart entre enseignants0,324 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
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
Publié2025
Routes d'admission1
Résumé présentoui

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