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Record W2955018932 · doi:10.1177/105268461802800605

Knowing Leadership: Students of Color (Re)considering Togetherness with Leaders and Authority Figures

2018· article· en· W2955018932 on OpenAlexaff
Ty-Ron M. O. Douglas, Jennifer M. Beasley, Emily R. Crawford, Juan Agüera Vega, Cayce McCamish

Bibliographic record

VenueJournal of School Leadership · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsConceptualizationEmpathyPerspective (graphical)ExplicationPerceptionEducational leadershipPsychologyDisciplineSocial psychologyPedagogySociologySocial scienceEpistemology

Abstract

fetched live from OpenAlex

Drawing on Bauman's (1995) conceptualization of various forms of togetherness and Giroux (2005) and Anzaldúa (2007) explication of border theory, this paper presents findings of a research study that investigates how students of color come to know leaders and authority figures. Findings suggest that students identified “leaders” in part based on their relationships and connections with them and the perceived benefit of such connection. Family members and teachers were considered leaders when students’ relationships with them reflected Bauman's (1995) “being-for” perspective, as characterized by positive role modeling and empathy. In schools, teachers—rather than school administrators—were most often described as leaders. These relationships were commonly associated with disciplinary issues and the enforcement of rules, and a colorblind system. Implications suggest that relationship characteristics in the borderlands of schools influence the perception of effective school leadership and school authority for students of color.

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)0.002
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.003
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.003
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 head0.327
GPT teacher head0.431
Teacher spread0.105 · 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
Published2018
Admission routes1
Has abstractyes

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