Pregnancy and Beyond: Nuances of the Work-Family Interface
Notice bibliographique
Résumé
The past few years has heightened the need to understand how work and family impact each other. While there exists a plethora of research exploring the interface between work and family, particularly for working parents, existing research tends to present the experience through the lens of work-family conflict, neglecting that the work- family interface goes beyond interrole conflict (Allen, 2012) and overlooks important nuances that could deepen our understanding of the work-family interface. For example, in a recent systematic review, Arena and colleagues (2023) point out that, despite decades of research, the literature on maternity in the workplace still assumes that “women underwent a seemingly normal and intentional pregnancy that resulted in a live birth” while paying limited attention to maternity experiences such as pregnancy loss. Additionally, while previous work-family research has examined the crossover effect (the interpersonal process that occurs when experiences, emotions, and attitudes of one individual affect another individual in the same social system; Bolger et al., 1989), the focus has been mainly on spousal dyads (e.g., Carlson et al., 2019; Li et al., 2021) while overlooking other family members such as one’s children. The purpose of this symposium is to explore such nuances within the work-family interface overlooked by the existing literature. Our curated collection of four interrelated papers examines the interplay between work and various stages of parenthood (from pregnancy to adult children) while highlighting the impact on both the parents as well as their children. Specifically, research in our symposium looks at the influence of being pregnant at work (Presentation 1), pregnancy loss at work (Presentation 2), parents work characteristics on their children’s leadership motivations (Presentation 3), and the relative earnings of mothers on children’s gender attitudes (Presentation 4). Our symposium addresses the various stages of working parents and our discussant, Dr. Julie Holliday Wayne, will synthesize the impacts of these stages on workers, their children, and organizations as a whole. Ultimately, this symposium contributes to the AOM 2023 theme of “Putting the Worker Front and Center” by using multiple methodologies and research questions to highlight one of the most important role domains of many workers, that is of being a parent, and examining how this role influences various aspects of their own lives and that of their children. The Influence of Pregnancy on Leader Role Occupancy Author: Shani Pupco; Smith School of Business, Queen's U. Author: Julian Barling; Queen's U. Postpartum Depression following Pregnancy Loss: Role of Supervisor Support on Turnover Intention Author: Mikaila Ortynsky; Telfer School of Management, U. of Ottawa Author: Jennifer Dimoff; Telfer School of Management, U. of Ottawa Author: Stephanie Gilbert; St. Mary's U. Author: Jacquelyn Brady; San Jose State U. Do Parents Influence Children’s Affective Motivation to Lead? Author: Jennifer McNeil; Department of Psychology, Carleton U. Author: Kathryne Dupre; Carleton U. Author: Anika Cloutier; Rowe School of Business, Dalhousie U. Mother’s and Father’s Relative Earning and Children’s Gender Role Attitudes Author: Yanhong Li; Odette School of Business, U. of Windsor Author: Alyson Byrne; Memorial U. of Newfoundland Author: Anika Cloutier; Rowe School of Business, Dalhousie U.
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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 | 0,001 | 0,000 |
| 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 | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».