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Record W259803796

Africa in Canadian Academic Libraries: A Continent's Voices Go Missing

2005· article· en· W259803796 on OpenAlexaffabout
Jody Nyasha Warner

Bibliographic record

VenueSocial Justice A Journal of Crime Conflict & World Order · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyMedia studiesOppressionWhite (mutation)Gender studiesMainstreamPoliticsPrivilege (computing)RacismDowntownLawPolitical scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

Introduction NOW THAT I'M LIVING IN A DOWNTOWN, MIDDLE-CLASS NEIGHBORHOOD AND working in academia, my world is overwhelmingly white. When I recently found myself in a crowd in which almost everyone was black, it was a jolt to remember again the ease, comfort, and pure joy of being in a crowd of multiculti Africans. Of course, white folks invisibly take for granted this privilege of being reflected, echoed, acknowledged, and recognized. Indeed, apart from segregated ethnic spaces, many of which are tucked away from mainstream view, and the odd tokenized add-on, Canada remains a nation steeped in whiteness. This system of white supremacy permeates the public imagination and institutions of the nation: the media, justice system, its arts infrastructure, government, and the focus of this essay, the postsecondary education system. One might wish to interrogate many corners of the university in terms of their multiethnic or multiracial openness or inclusiveness. In this case, I concentrate on the academic library as a possible site of racial oppression. As an African Canadian academic librarian and, more important, a social justice advocate, I wanted to know if my impression that African voices were largely missing from the library shelves was correct. If so, I planned to consider how an entire continent might be missing from a space that typically and proudly pronounces itself to be the record of humankind. What does this omission tell us about the workings of the information landscape in general and Canadian academic libraries in particular? Never far from my mind were issues such as whose knowledge counts and how systems of globalization and white supremacy assign such value. My first task was to measure how many African voices I might hear if I cupped my ear and walked along the library shelves at York University, a large, urban campus in Canada that prides itself on diversity, social justice, and innovation. The size of the collections at York University Libraries (YUL) is impressive, numbering some 2,179,945 in print volumes and 8,127 in journal subscriptions. (1) YUL is among the larger academic libraries in North America. York University houses one of the only African Studies programs in Canada, along with a Centre for the Study of Black Cultures in Canada and a Centre for Latin American and Caribbean Studies, both of which have scholarly ties to Africa. Thus, the academic need for African resources at York would seem self-evident. A foray into the available research literature proved challenging. No directly relevant previous research in this area existed to build upon. Though some papers analyzed diversity in North American academic libraries, they focused on the representations of diasporic communities such as Asian and African-Americans. I surveyed material on librarianship and the book industry within Africa (notable here are Nigeria's African Journal of Librarianship, Archives & Information Science and Hans Zell's work, The African Publishing Companion), but this literature did not consider links to North American academic libraries. Beyond the literature review, I chose three ways to measure the African presence in our collection. First I searched our catalogue for periodicals published in Africa to see how many we carried. Then I compiled a small list of academic African publishers and determined how many of their titles York owned. Finally, most libraries now use approval plans (2) to purchase most of their collections, so I took a close look at our vendor, YBP Library Services, to appraise the number of African publishers in their offerings. The literature I reviewed and the measurements I undertook did not take into account the great linguistic and regional variations found in a continent as diverse as Africa. Such a complex (and interesting) task was unfortunately beyond the scope of this essay. Report of Findings Searching YUL for periodicals published in or about Africa was instructive. …

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.345
Teacher spread0.296 · 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 designNot applicable
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
Published2005
Admission routes2
Has abstractyes

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