MétaCan
Menu
Back to cohort
Record W150167709

"Unsettling Relations": Racism and Sexism Experienced by Faculty of Color in a Predominantly White Canadian University

2005· article· en· W150167709 on OpenAlexaboutno aff
Edith Samuel, Njoki Nathani Wane

Bibliographic record

VenueThe Journal of Negro Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsnot available
Fundersnot available
KeywordsRacismMainstreamNewspaperCurriculumSociologyWhite (mutation)Equity (law)Higher educationGender studiesCritical mass (sociodynamics)PsychologyPedagogyMedia studiesPolitical scienceSocial scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This article is a qualitative investigation of the experiences of nine women of in a predominantly White Canadian university. Although the sample size is small, this study underscores racism and sexism pervading in some contexts, situations, and relationships for women of in academe. Minority instructors perceive racism as infusing most aspects of academic life such as curriculum design, evaluations, administrative support, and mainstream student reactions. This analytical inquiry recommends a revamping of curriculum design and evaluation criteria, an implementation of ongoing anti-racism training for mainstream faculty, and most importantly, hiring a of women of to unsettle relations and create a more congenial, affable, supportive and equitable academic environment. INTRODUCTION A revolutionary study on the hiring of defined by the Federal Contractors Program as persons, other than Aboriginal peoples, who non-Caucasian in race or non-White in color (Guide to Equity Resources at Queens, 2004), at Canadian universities made headlines in The Toronto Star, a leading newspaper of Canada. In the article, Dr. Chandrakant Shah, an awardwinning professor, who has taught in the University of Toronto since 1972, professes that, hypothetically, it would take more than 25 years before visible minorities represent a critical mass of even 15 percent of professors (Rushowy, 2000). According to Shah, mass is understood to refer to reducing the potential for minority colleagues to feel isolated and marginalized (Rushowy, 2000, p. 3). The figures that Shah used were not based on a quota system. Instead, he used a mathematical model of probability that assumed the university fills an average of 15 percent of all job openings with a visible minority candidate, that is, in a faculty population of 1,710 and an annual rate of new hires of 5 percent (or 85 job openings). Shah's findings revealed the dearth of faculty positions held by members of so-called visible minorities-a selected group under the Federal Contractors' Program-a program that mandates the hiring of four target groups of women, visible minorities, the disabled, and people with different sexual orientation. Importantly, women of underrepresented in Canadian academe (Henry & Tator, 2005). Furthermore, it has been pointed out that women of hold 18.7 percent of doctoral degrees in Canada, and yet, constitute an average of only 10.3 percent of faculty positions nationwide (Kobayashi, 2002). A similar trend is prevalent in American universities. Trower and Chait (2002) write in the Harvard Magazine that, despite 30 years of affirmative action, and contrary to public perceptions, the American faculty profile, especially at preeminent universities, remains largely White and largely male (p. 33). According to Trower & Chait (2002), this bleak picture indicates: * 94 percent of full professors in science and engineering White; 90 percent male. * 91 percent of the full professors at research universities White; 75 percent male. * 87 percent of the full-time faculty members in the United States White; 64 percent male. * Only 5 percent of the full professors in the U.S. Black, Hispanic or Native American. * The gap between the percentage of tenured men and the percentage of tenured women has not changed in 30 years. This alarming state of affairs illustrates that women of underrepresented in most predominantly White, North American universities. Furthermore, there is evidence to suggest that women of (Black, Native Canadian, and Asian or minority faculty) experience sexism and racism in academic environments. Racism and sexism are two systems of oppression and inequality based on the ideology of the superiority of one race and/or gender over others (Ng, 1994, p. 41). This article explores the experiences of women of in a predominantly small-town White Canadian university, with an overriding White population, and it investigates the manner in which this trend can be addressed. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0510.019
Scholarly communication0.0080.002
Open science0.0030.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.326
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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

Citations40
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Negro EducationSame topicCritical Race Theory in EducationFrench-language works237,207