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Record W320224221

In but Not at Home: Women of Colour in the Academy

2002· article· en· W320224221 on OpenAlexvenueaboutno aff
Arun P. Mukherjee

Bibliographic record

VenueResources for feminist research · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryFeelingConversationWhite (mutation)LawOrder (exchange)SociologyWifeMedia studiesManagementPsychologyPolitical scienceBusinessSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Twelve years ago, in 1990, I published a short story called Summer Job. In it, the narrator, a contract faculty member hired at the last moment to teach a summer course, sends out job applications and papers to refereed journals on university letterhead while she has access to it. That act of the narrator was drawn straight from my experience as contract faculty. Despite the fact that I became a tenured faculty member in 1994 (joining the tenure stream in 1991), and got access to the coveted letterhead 24 hours of the day, 365 days a year, I continue to feel unhappy, troubled, frustrated, and estranged, the feelings my contract faculty narrator documented. I am aware of my privileged position as tenured faculty. I never forget the remarks of a white male colleague, now a senior administrator, who told me during a conversation a few years ago as we walked towards the department that he and I should be thankful for the wonderful jobs we have: jobs with lifetime security and a decent salary. He was expressing these opinions at a time when our union was on the verge of a strike. I did not remind him that I had only managed to secure this wonderful job at 44 years of age. Nor did I remind him about the disparity in our salaries because of the gender gap. In order to gain this belated entry, I had to break down the door since those inside did not want to let me in. And entering uninvited and unwelcomed has left permanent scars. But besides these, there are other reasons why it feels that there is always something out of whack about my life as a university professor in Canada. To be brutally honest, these reasons have to do with being a woman of colour in a workplace beset by systemic racism. Canadian universities are no alma maters to women of colour like myself, despite their highsounding mission statements and loud proclamations about equity and diversity. I have paid for their racism many times over, starting from the date when I first arrived in Canada in 1971 to do graduate work as a Commonwealth Scholar from India. While Commonwealth Scholars from the old Commonwealth, i.e., Britain, Australia and New Zealand, were admitted to a one-year Master's program, I, from the new Commonwealth, was asked to do a two-year M.A. The first year was to be spent doing make up undergraduate courses. It did not matter that I already had a Master's degree, and the students from the old Commonwealth didn't. Nor did it matter that I had already been teaching at the university level in India and had three years of research experience to boot. The graduate program officers had not arrived at their decision by interviewing me or administering a test. This was how they routinely evaluated applicants from India and other Third World countries. Perhaps things are not as racist as they were in 1971. In fact, now the same universities that treated me like dirt are vying for international students because they bring so much more money to the university in the form of a fee differential. And then there is what is known as the changing face of Canada or the demographic shift. When I was a graduate student, the student body was predominantly white. Now it is far more diverse, to use the official word. Off and on in union or senate meetings, and in professional organizations and publications, I hear or read anxious remarks about a diverse student body and a professoriat that is not. I see document upon document about equity and diversity. And yet, when it comes to the representation of racial minority faculty and women of colour faculty in particular, the numbers remain pathetically small. So what is happening? They are looking for us and we can't be found? During the media publicity about the case of Dr. Kin-Yip Chun against the University of Toronto, President Robert Prichard denied that the low numbers of racial minority faculty were caused by systemic racism. He, like many other administrators and white faculty members in Canadian universities, talked about the lack of qualified applicants in the pool and the need for the university to attract graduate students of colour to increase the pool for the future. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.318
GPT teacher head0.419
Teacher spread0.101 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes2
Has abstractyes

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