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Record W2078499959 · doi:10.1177/0042085910384203

Constructing Self as Leader: Case Studies of Women Who Are Change Agents in South Africa

2010· article· en· W2078499959 on OpenAlexaff
Dolana Mogadime, P B Mentz, Denise E. Armstrong, Beryl W. Holtam

Bibliographic record

VenueUrban Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsNarrativeCompassionGender studiesLeadership styleSpiritualityContext (archaeology)SociologyEducational leadershipStyle (visual arts)PedagogyNarrative inquiryEmancipationPsychologySocial psychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

The present article draws from the biographical narratives of three South African high school female principals which are part of a larger research study in which 26 aspiring and practicing women school leaders were interviewed. Narratives were constructed from in-depth interviews with each participant and analyzed for themes that provided insights into the skills, knowledge, and understanding that contribute to an effective African-centered leadership style that values three key principles of ubuntu: spirituality, interdependence, and unity. Findings indicate these women’s narratives are a testimony to their moral and ethical commitments in which social emancipation, compassion, and care for the community’s children are firmly rooted at the center of their leadership style. This study answers the call for research that explores context-specific leadership.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.027
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0270.012
Scholarly communication0.0050.005
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.243
GPT teacher head0.417
Teacher spread0.174 · 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

Citations33
Published2010
Admission routes1
Has abstractyes

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