Structural Impediments Impacting Early-Career Women of Color STEM Faculty Careers
Abstract
:1. Introduction
2. Literature Review
2.1. Recruitment and Hiring
2.2. Tenure and Promotion Evaluation Practices
2.3. Race–Gender Disparities in Workload
2.4. Discretion in Policy Enactment
3. Conceptual Framework
4. Methods
4.1. Participants
4.2. Data Collection
4.3. Data Analysis
4.4. Trustworthiness
4.5. Researcher Positionality
5. Findings and Discussion
5.1. Nebulous Policies
[Methods] would be my go-to graduate course … my course to continue to teach it, which is actually incredibly beneficial for a new assistant professor to teach the same course and not having to do multiple course preps. And I even spoke to the colleague who was actually the one to be teaching that class…and she was hands down okay with me taking over the class for the next four years. But what broke down was the graduate chair decided that he was going to remove me from the class the following year. He vaguely said, “I have a plan for everyone teaching everything”. And not everyone is qualified to teach that class. I think it has to do with his students complaining about me because they just didn’t like my literal tone of voice. They thought that I was an angry person when I was answering questions. I just have a teaching tone that is more assertive. And I guess his students just complained to him about me.
I’m removed from the class that I had been teaching for a semester. And I did a significant amount of restructuring and course prep for it. So, I emailed him [graduate chair] about that issue of, “Why are you removing me from my class? If your students didn’t like me, that’s okay. I can learn. I can grow. There should be an opportunity for me to grow in my teaching”. But he wouldn’t budge. I looped in the director, and I told her, “Removing me from this class and trying to give me another course to prep is not a supportive environment and it’s not a way to support new assistant professors”. Those were the words that I was using while looping in the director and nothing was done still.
I used to be a quantitative research person, now I’m learning more, “That’s bulls**t”. Quantity can only say so much. We need to look at the quality of the research and so on. And once I talked to my colleagues, especially the people who came at the same time or after, they were very open to learn and understand. I shared ‘I don’t know whether this will count as a publication, but let me tell you how much work it took. It’s three processes, the data collection, the transcription, the data analysis …’ So now, we’re changing our unit standards for tenure to include this kind of, what we call, nontraditional areas. Because as a minority, as women, for example, I [desire] to learn more of the human side of STEM education rather than the traditional laboratory, experimental, or statistical modeling side of the research. And we should be inclusive of those, especially for minority people who have more experience and more motivation, more interest in drawing this kind of work. Right?
5.2. Unclear Performance Expectations
When I had that first conversation with them about promotion and tenure after the hire, I have a conversation that the chair had with me when I came. And that is we want to show a trajectory towards excellence. And the way our evaluations go each year for untenured faculty is you can get an excellent, a commendable, a satisfactory, or an unsatisfactory [in teaching, research, and service]. And so, I really talk about ways to strategize moving towards excellence in all those categories, and it doesn’t have to be next year or the year before or the year after in all the categories, because once you get to excellent, there’s nowhere to go but down, if something happened, right. While this mindset may seem helpful for an early-career faculty member, this approach may have unforeseen consequences.
Because I’m telling you, that first year I pulled two grants, and he gave me “good”. And I’m like, “Bro, what would be exemplary? We’re supposed to get two for tenure, and I did it in my first year”. And he’s like, “Well, I just never feel comfortable giving anybody exemplary, because if I called that great, what if something even better happens? So, I just always hold exemplary in my back pocket”. And I’m just like—so this May—last month I got my first exemplary, and every year I have exceeded the expectation. And it’s like, “Really?” But he just really was adamant about it. And even my white colleagues [were confused]—we brought in [a] big [grant]—during 2020 we got an NSF Rapid grant—200,000. [The department chair rated me] Good. Like, “How’s this good?”
5.3. Inequitable Workloads
Our growth capability has been slow. And I think it has a lot to do with the structure of the program. Everything is on the shoulders of the faculty… And so, that’s when new people like me and [Colleague], we had to take up the charge of creating this open house to try to attract more students because it was our asses on the line. We are the ones that need to graduate a student. Whereas, my [senior] colleagues—and when I say [senior], I mean associate professors—they didn’t have to graduate a student for tenure. That expectation did not exist for them. So, maybe they don’t see the need to be so aggressive. I don’t know. Or it doesn’t matter to them because it doesn’t affect them. That’s probably the better way of putting it. But yeah. So, this whole recruitment was on our shoulders, and we had to try to attract students because we needed the students for our tenure and promotion cases. And for research as well. It’s difficult to do research without support from students. So, I would say the structure here is just sad, completely sad given the amount of years we’ve been in existence, so. And it’s just disappointing.
What I think is somewhat inequitable, not equitable, is the types of workloads and microaggressions, and inequities that impact faculty of color before they get to [tenure]. So, they may or may not be successful when they go up for promotion, [though] they follow that process. For example, maybe being asked to teach a higher teaching load… Maybe being asked to sit on a zillion different committees because you’re the only woman of color in the school. So, you’re spending 10 h a week doing your duty on the Diversity, Equity, and Inclusion Committee, or going to talk to other incoming faculty of color about the process or about the school. You’re being constantly asked to do extra stuff, for better or for worse. That time away from, maybe, what you could be doing to improve your chances of getting tenure. Of actually doing your research, publishing those papers, writing those grants. I think the workload can be inequitable. And so, therefore, you have trouble showing as much productivity because you’re being pulled in so many different directions.
6. Implications
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Pseudonym | Gender | Race/Ethnicity | Status/Position | Discipline/Field |
---|---|---|---|---|
Ashley | Female | Black | Administrator (ADVANCE Program Director) | Information Technology |
Christina | Female | Mexican | School Director | Political Science |
Heather | Female | Asian and White | Administrator (DEI Liaison) | Ecology |
Mark | Male | Black | Administrator (Associate Dean) | Graduate School and Engineering |
Sabrina | Female | Latina | Administrator (DEI Liaison) | Psychology |
Frank | Male | White | Department Chair | Sociology |
Leonard | Male | White | Department Chair | Earth Sciences |
William | Male | White | Department Chair | Educational Studies and Psychology |
Steven | Male | White | Department Chair | Information Technology |
Reina | Female | Hispanic | Pre-tenure Faculty | Animal Sciences |
Lisa | Female | Black | Pre-tenure Faculty | Engineering |
Samantha | Female | Black | Pre-tenure Faculty | Agriculture |
Whitney | Female | Black | Pre-tenure Faculty | Sociology |
Vanessa | Female | Mexican | Pre-tenure Faculty | Engineering Education |
Faye | Female | Puerto Rican | Pre-tenure Faculty | Mathematics |
Patricia | Female | Native American and White | Tenured Faculty | Environmental Chemistry and Biology |
Crystal | Female | Black | Tenured Faculty | Mathematics |
Yasmine | Female | Asian/Chinese | Tenured Faculty | Mathematics |
Bradley | Male | White | Dean | College Humanities and Sciences |
Themes | Description | Sample Codes | Sample Excerpts |
---|---|---|---|
Nebulous policies | Vague and unclear policies, as well as the imprecise application of policies that were at times nonexistent | Course assignments, teaching loads, T&P guidelines, hiring rubrics, student evaluations, etc. | So part of being that young university and now, I guess, I don’t know. I don’t know if it’s having a more savvy or I hate to say business-like, but administrative approach on the things you have to have sort of a clear policy practice and protocols on implementing those. So there’s a rationale for doing things a particular way and allocating resources and procedures. I think that’s been more positive than negative, that rooting out the old, the old boys’ network and trying to make things more transparent, I guess. And so I think even folks who come in recently have felt that. A few who came in from [other institutions]—and it’s like, “Wow, this happens here? I didn’t know anything about this, because it was all shrouded in secrecy”. |
Unclear performance expectations | Inconsistent interpretations and practices in the evaluation process of participants’ performances and prescribed requirements | Reappointment reviews, performance evaluations, T&P guidelines, grants, etc. | The committee then looks at [T&P dossiers] and gives a ranking in the categories of teaching, service, and research. And most of the faculty, their allotments for the different categories are dominantly research, then teaching, and a small proportion for service. And that gets looked at by the committee. And of course, it’s a committee. So you’ve got opinions that span the whole gamut because people have their own biases and perceptions because it’s a biased game, and it’s a perception game. There’s nothing objective unless you’re literally just counting things. But then, well, how do you weight the count? Is it a good journal, or is it a crappy journal? So there’s no quantification. We try to fuzz it out as much as possible. |
Inequitable workload | Perceptions of unequal workload distribution and the urge to take on extra responsibilities | Extra workload, structural barriers, teaching loads, service loads, etc. | Some of the challenges are—even though we try to have policies that give credit for service workloads, the work is still unevenly distributed so that women of color, particularly women of color in STEM, are still carrying an unfair load of the service but not getting enough credit when it comes to tenure promotion and even promotion up to full professor, not just associate professor. I think this is broader, not necessarily just at my institution. |
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Woods, J.C., Jr.; Lane, T.B.; Huggins, N.; Leggett Watson, A.; Jan, F.T.; Johnson Austin, S.; Thomas, S. Structural Impediments Impacting Early-Career Women of Color STEM Faculty Careers. Educ. Sci. 2024, 14, 581. https://doi.org/10.3390/educsci14060581
Woods JC Jr., Lane TB, Huggins N, Leggett Watson A, Jan FT, Johnson Austin S, Thomas S. Structural Impediments Impacting Early-Career Women of Color STEM Faculty Careers. Education Sciences. 2024; 14(6):581. https://doi.org/10.3390/educsci14060581
Chicago/Turabian StyleWoods, Johnny C., Jr., Tonisha B. Lane, Natali Huggins, Allyson Leggett Watson, Faika Tahir Jan, Saundra Johnson Austin, and Sylvia Thomas. 2024. "Structural Impediments Impacting Early-Career Women of Color STEM Faculty Careers" Education Sciences 14, no. 6: 581. https://doi.org/10.3390/educsci14060581
APA StyleWoods, J. C., Jr., Lane, T. B., Huggins, N., Leggett Watson, A., Jan, F. T., Johnson Austin, S., & Thomas, S. (2024). Structural Impediments Impacting Early-Career Women of Color STEM Faculty Careers. Education Sciences, 14(6), 581. https://doi.org/10.3390/educsci14060581