GeoLatinas: bringing down the language barrier to increase Latin American representation and democratize science communication in Earth and Planetary Sciences
Notice bibliographique
Résumé
GeoLatinas is a member-driven organization that inspires, embraces and empowers Latinas to thrive in Earth and Planetary Sciences (E&PS) by creating initiatives to address and overcome career progression barriers for the representation of the Latin American community. The GeoLatinas’ Voice your needs survey, conducted in English and Spanish, showed in 2020 that many respondents in our community (42%) found language barrier as one of the most pressing issues.Perceiving English as the main communication language in the science community creates a barrier for non-native English speakers, hindering their inclusion and representation. Bilingual education in Latin American schools is uncommon. The high cost of learning and obtaining proof of English proficiency, results in limited access to higher education. The English barrier is also a challenge when publishing in indexed journals or presenting research at international events. Consequently, education and employment opportunities for aspiring scientists and professionals decrease. GeoLatinas transforms the language barrier into an opportunity by communicating in English, Spanish, and Portuguese, thus contributing to a diverse E&PS community. Specifically, we continuously develop strategies to overcome language-related issues like: (1) English as a requirement for inclusion and recognition in the science community; (2) lack of access to opportunities for Non-English speaking experts and non-experts; and (3) limited recognition of Latin American scientists’ work.Initiatives addressing the first issue include Conversando con GeoLatinas (Chatting with GeoLatinas), a space to improve English and Spanish conversational skills; Dry Runs & Peer Review, a comprehensive database of native English, Spanish and Portuguese-speaking reviewers, allowing members to receive feedback on written and oral pieces; and GeoSeminars, where leaders of GeoLatinas por Mexico host presentations in Spanish and English, with diverse experts sharing their knowledge with a broader community online. Lastly, collaborations with Nature Reviews Earth and Environment help our members publish short scientific articles in English, and Spanish or Portuguese.Regarding the second issue, the GeoLatinas Blog gives members and invited experts a platform to share their research and thoughts on diverse topics in blogs available in our three languages. In addition, GeoLatinas has fostered partnerships for specific translations to Spanish, such as Eos.org short science articles (with science communication production entity Planeteando); and also to English, like the booklet GEAS: Women who study the Earth (with the ENGIE project).Confronting the third issue, the GeoLatinas’ social-media based initiative Friday Feature in Geo has broadcasted over 160 profiles highlighting the work and contributions of Latinas in E&PS across all career stages. Together with the GeoLatinas around the world podcast in Spanish and Portuguese, we inspire and inform new generations, sharing funding opportunities and experiences from latinx scholars.As a multicultural organization, we see strength in our differences and leverage them diversifying the E&PS. Together, we nurture our multilingual communication skills and use them as high-value traits for the scientific community. By embracing our heritage and communicating science in our native languages, GeoLatinas brings down the language barrier, democratizes science communication and increases Latin American representation in science.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,003 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,001 | 0,012 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 0,008 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».