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Enregistrement W3127092084 · doi:10.18260/1-2--36087

Exploring the Gendered Impacts of COVID-19 on Faculty

2024· article· en· W3127092084 sur OpenAlexaboutno aff
Sarah Trainer, Agnieszka Miguel, Jean M. Jacoby, Jodi O’Brien

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueWork-Family Balance Challenges
Établissements canadiensnon disponible
Organismes subventionnairesAmerican Society for Engineering EducationNational Science Foundation
Mots-clésSalaryContext (archaeology)Coronavirus disease 2019 (COVID-19)Distance educationSocial distanceHigher educationPublic relationsWork (physics)DistancingQuarter (Canadian coin)Political scienceFace (sociological concept)SociologyMedicineGeographyEngineeringLawSocial science

Résumé

récupéré en direct d'OpenAlex

Abstract With the exponential increase in COVID-19 cases across the United States in February and March 2020, many universities around the country moved to remote instruction. In response to public health information and changing directives from local and state authorities, universities made necessary decisions to keep their campuses closed for the entire spring quarter, with faculty and staff administrative work, teaching, and research all moving to remote bases. Faculty in institutions of higher education throughout the US have experienced additional demands necessitated by the move to online platforms for all teaching and administrative work, as well as strains placed on research agendas as laboratories have been closed, fieldwork has been limited, and in-person contact has been curtailed. As of mid-2020, many universities face budgetary shortfall and furloughs, and are having to implement salary and hiring freezes. Remote instruction continues for many institutions during the summer and projections for Fall of 2020 are uncertain: many universities are contemplating hybrid approaches, some say they will open as usual in the Fall (albeit with public health measures like masks in place), and still others have stated they will be online only for the rest of the year. The broader context outside higher education has also been fraught with shifting challenges and change precipitated by COVID-19, its accompanying social distancing, and the widespread economic fall-out for the United States. Many public and private pre-K-12 schools, as well as daycares, summer camps, and aftercare centers have closed or moved to distance learning. The "stay-at-home" orders that affected/are affecting many states have closed libraries, parks, playgrounds, and extracurricular activities for children, as well as nursing homes and eldercare facilities. These orders have also impacted some, but not all, businesses: many people now work routinely from home and many people have been laid off or had their salaries and workdays reduced. A stream of articles in a variety of media outlets, including The Washington Post and The New York Times have charted the impacts that working from home have had on people in the US, in a context of reduced economic power and reduced childcare options. In the case of higher education specifically, faculty who are parents of school-age children struggle to balance teaching virtually while also caring for their families. Faculty with elderly parents face extremely difficult decisions about social distancing and best care practices. Single faculty are isolated at home, separated from their friends and families. Extensive evidence indicates that women disproportionately shouldered more care-giving at home before February-March 2020, and burgeoning evidence conducted since COVID-19 began affecting daily life in the US indicates that these kinds of inequities in care-giving are deepening during the crises, especially as external, paid care-giving options have shrunk. Less is known, however, about the nature and quantity of the work that women faculty are being asked to do (remotely, from home) for and by their universities. Scholars of women in the workplace note that many of the activities that are integral to the reputation and everyday functioning of an organization are often performed by women and, accordingly, are taken-for-granted as a "natural" expression of women's preferences for this sort of work. In 2016, our university received an NSF ADVANCE Institutional Transformation grant to study and change policies with an eye on equity. We proposed that women faculty disproportionately perform "hidden work" within our university and that this essential work is not compensated within current faculty reward structures around promotion. Our activities over the past four years have included strategic communication across all levels of the university, social science research (participant observation, interviews, and focus groups) with faculty, and efforts aimed at procedural change (revised promotion guidelines and increased opportunities for faculty mentoring), all based on a participatory action research (PAR) model that has allowed us to flexibly incorporate feedback and shift our activities in response. As part of our PAR model, we are currently also exploring the impacts that COVID-19 necessitated shifts have had on the "hidden work" performed by faculty at our university, as well as on faculty workloads more generally. The research responds to the unprecedented challenges that academics are currently facing. These include isolation from colleagues, increased teaching and service asks in the workplace, increased caregiving responsibilities at home, personal economic hardship, decreased resources for scholarship and teaching, changing requirements demanded by remote instruction and the effects this has on expressed faculty and student satisfaction with classes, and the emotional tolls of COVID-19. We hypothesize that gendered differences may emerge across all of these challenges and we are investigating the following research questions: 1. How has COVID-19 impacted faculty research, teaching, and service responsibilities? 2. How do these impacts differ by gender, other demographic variables such as race, faculty rank and tenure status, and discipline? 3. How has COVID-19 impacted the resources that the university is able to provide faculty? We used a mixed methods approach to answer these questions, grounded in our PAR model and an ethnographic framework. This emphasizes in-depth data collection via participant observation (the involvement of the researchers in campus life and use of our own experiences as data), focus groups, and individual reflections from faculty. Because of the new realities of remote work and social distancing, much of this data collection has been conducted remotely. Participant observation across public Zoom meetings, for example, has been helpful to us in staying current with larger trends at the university. During Spring Quarter 2020, we also emailed all faculty (tenured, tenure-track, non-tenure track) and asked them to provide us with a written reflection concerning their recent professional and personal experiences. We asked faculty to reflect on the following questions: 1. What am I struggling to get done professionally during this time? 2. What has been easier to do professionally during this time? 3. Have I noticed any differences in how much time I spend on research vs. teaching vs. service activities since COVID-19 started impacting my professional life? 4. How am I balancing personal demands with professional ones during this time? 5. How have I felt supported (or not) by university administration? Data collection is still ongoing, with additional faculty sending us reflections over the summer. Initial thematic analysis of the reflections indicates the following emergent themes are proving important: 1. Faculty are balancing more care-giving at home. 2. Certain faculty are doing essential work in marginalized communities that they worry "won't count" for tenure or promotion. 3. Teaching and administrative service have overwhelmed research and writing time for most faculty. 4. "The collapse of the professional into the personal" in terms of time and space is having a ripple effect across all areas of life. 5. There is pervasive worry about student evaluations, external reviewers, tenure clock delays, promotion delays, expected levels of productivity. Each of these themes can be further analyzed with an equity lens. Many women are experiencing the collapse of the professional into the personal more acutely, for example, as they struggle to share workspace with school-aged children. Faculty of color are disproportionately being asked to contribute expertise in areas that have not traditionally been "counted" in tenure and promotion policies. It is important to note that COVID-19 did not create new inequities and strains on faculty. Instead, it has put enormous stress on existing fractures and inequities. Our goal for this research was to think strategically and systematically about the implications of the profound shifts in faculty work caused by COVID-19 for the long term, and how this will differentially impact diverse faculty in terms of workload, tenure and promotion, salaries, and teaching evaluations.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,544
Score d'incertitude au seuil0,347

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,297
Tête enseignante GPT0,402
Écart entre enseignants0,105 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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