Towards family-friendly conferences in the geosciences: results from a first survey
Notice bibliographique
Résumé
Abstract. In the geoscientific field, building an academic career requires a high level of dedication to research, frequent publishing, and maintaining visibility within the academic community. Conferences are the central platforms for networking and knowledge exchange, making them keystones for a scientific career. However, the early stages of an academic career often coincide with family planning considerations. Many young researchers face the challenge of balancing professional responsibilities with family obligations. A balancing act that becomes particularly difficult during non-routine work events such as conferences. Such occasions tend to pose significant organizational challenges for families. As mothers still perform most caregiving, they are disproportionately affected. This conflict is an important factor inhibiting the rise of women through the academic career ladder. Hence, increasing the family friendliness of conferences holds a chance of diversifying the community, allowing more women to participate, while reducing the tension of the academic work-family conflict. In this work, we present the results from an online survey among researchers from the geoscientific field. The required support of parents at conferences is analyzed and the acceptance of researchers without children for the implementation of new support offers is examined. Our key findings are that (1) parents wish for more support at conferences, (2) the majority of non-parents welcome family-friendly measures and (3) conference organizers can accomplish a lot in this respect with small adjustments. The responses we received from parents paint a qualitative picture of measures that can be taken to create a family-friendly conference experience, ranging from an increase of transparency and awareness for the challenges of parents to tangible offers like childcare and financial funding. This feedback invites conference organizers to join the conversation about family support and shows that new measures have great support in the geoscientific community. Our findings are distilled into guidelines for conference organizers, allowing them to better address the work-family conflict and transform their conferences towards more equity, diversity and inclusion.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».