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Record W2110704266 · doi:10.1155/2012/385806

Diversity Management in the Canadian Workplace: Towards an Antiracism Approach

2012· article· en· W2110704266 on OpenAlexaboutno aff
Vanmala Hiranandani

Bibliographic record

VenueUrban Studies Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsDiversity (politics)Affirmative actionMulticulturalismWorkforceRacismSociologyPublic relationsDiversity managementPolitical scienceMeaning (existential)Inclusion (mineral)Privilege (computing)Cultural diversitySocial scienceGender studiesPsychology

Abstract

fetched live from OpenAlex

Most diversity management programs in Canada maintain that enhancing workforce diversity is of tremendous significance for business organizations in today’s competitive global urban markets. Since well-meaning diversity management initiatives have been largely ineffective thus far in dealing with workplace discrimination and racism in the Canadian workplace, this paper underscores the need to decenter the focus of diversity management from a business imperative to an antidiscrimination and social justice imperative. Within this latter perspective, the paper examines the strengths and limitations of the antiracism approach that has been implemented in various developed countries in recent years. The antiracism approach is an action-oriented strategy for institutional and systemic change that has at its core the interrogation of privilege, power disparities, and other forms of inequity within the organization. Drawing from the lessons of various initiatives that have utilized this approach, the present paper emphasizes the need for a nuanced antiracism approach in the multicultural Canadian society if diversity management is to attain its goal of greater inclusion of all individuals in informal networks and formal organizational programs.

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)0.012
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.575
GPT teacher head0.465
Teacher spread0.110 · 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.

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

Citations31
Published2012
Admission routes1
Has abstractyes

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