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Record W3164184696

Enacting Social Justice Leadership in the Division of Student Affairs

2020· dissertation· W3164184696 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsStudent affairsDivision (mathematics)Educational leadershipPolitical scienceLeadership studiesSocial justicePedagogySociologyPsychologyPublic administrationLeadership stylePublic relationsCriminologyLawHigher education
DOInot available

Abstract

fetched live from OpenAlex

Heads of Student Affairs in the Ontario College sector are leaders who hold responsibility for services and programs designed to serve diverse student populations, outside of the classroom. In the College of Applied Arts and Technology system, these administrators are typically VPs of Student Affairs and Services, Deans of Students or Executive Directors of Student Services. Given their location in the institutional hierarchy these leaders can play a significant role in challenging and disrupting policies and procedures that reproduce dominance and oppression yet how they express and enact social justice leadership is significantly understudied in the higher education and student affairs literature. Grounded in two large bodies of literature in higher education, and informed by critical theory, eleven student affairs leaders were asked to reflect on ways their work related to social justice and then to discuss when and how their work reflected social justice; the central research question was: How do Heads of Student Affairs enact social justice in their leadership practice? The findings from this study reveal how student affairs leaders, who self-identified as leading from a social justice perspective, enacted social justice in their leadership practice as they attempted to transform student operations, policies and structures of power, by calling into account, seemingly unproblematic practices in efforts to reveal problems, strengths, and possibilities for sustainable change. The data also highlights that those leaders who were able to articulate a deeper understanding of how their identity impacts and informs their leadership practice tended to be more critical in their approach and, as a result, were more likely to face barriers and consequences to enacting social justice leadership. As a result, this study has the potential to provide timely insights for current and emerging leaders to develop robust policies and programs that advocate, and transform educational spaces, for our increasingly diverse student populations from a social justice perspective.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.211
GPT teacher head0.382
Teacher spread0.170 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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