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Record W4322632146 · doi:10.3726/b20657

Postsecondary Leaders’ Thoughts on Diversity and Inclusion

2023· book· en· W4322632146 on OpenAlexaboutno aff

Bibliographic record

VenuePeter Lang Verlag eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicEducation, Leadership, and Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsDiversity (politics)Inclusion (mineral)Equity (law)Public relationsSociologyPolitical scienceCultural diversityRacismHigher educationEducational leadershipPedagogyGender studiesLaw

Abstract

fetched live from OpenAlex

Leaders of most postsecondary institutions in Canada have stated that their institutions are committed to diversity and inclusion. These commitments are situated in a complex educational climate in which leaders navigate drivers of change such as increased diversity in the student demographic and an increased demand for social justice issues to be addressed. Despite the public commitments to values of diversity and inclusivity, senior leadership in Canadian postsecondary institutions today lacks diversity. Interestingly, public statements of commitment to diversity and inclusivity are made by postsecondary leaders in response to allegations of racism. What do the concepts of diversity and inclusion mean to postsecondary leaders and how are they enacted? To gain an in-depth understanding of how leaders make meaning of diversity and inclusivity, this book offers an integrated social justice leadership framework for diversity and inclusivity. This innovative framework provides a way for leaders to think through their and others’ understanding of diversity and inclusivity within the varying dimensions in which they practice leadership in postsecondary settings. With this understanding, leaders can broach the social justice issues of colonial knowledge systems, white Eurocentric ways of knowing, power, representation, and implicit bias in postsecondary contexts as they engage leadership practices in ways that tend to equity and decolonial thought. "This book is a must read for educators and educational leaders in postsecondary contexts who are working towards greater diversity and equity. It covers a wide range of issues and considerations for achieving workplace diversity and strategies that leaders can engage. It is substantive in both scope and content and provides insights into organizational structures as well as what the author sees as discursive limitations of diversity and inclusivity. The book also offers a social justice leadership framework that can support diversity and inclusivity. It is a timely contribution to the field." Ann E Lopez, Professor of Educational Leadership and Policy, Ontario Institute for Studies in Education, University of Toronto "Postsecondary Leaders’ Thoughts on Diversity and Inclusion: Now What? provides a timely discussion regarding how postsecondary leaders make meaning of diversity and inclusivity in educational settings. By tending to how leaders of postsecondary institutions in Alberta, who through policy, academic plans, mission and value statements, have committed to diversity and inclusion, Maroro Zinyemba offers key sensibilities for social justice praxis by revealing how these moments inform leadership practice in postsecondary contexts. This book ought to be requisite reading for those concerned with historical and contemporary questions regarding diversity and inclusion in the context of postsecondary education." Marlon Simmons, Associate Dean of Graduate Programs, Werklund School of Education, University of Calgary

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.293
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.013
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.157
GPT teacher head0.394
Teacher spread0.237 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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