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Record W3096113907

Women, Learning, and Charitable Leadership in Canada

2018· dissertation· W3096113907 on OpenAlexaboutno aff
Michelle L. Coombs

Bibliographic record

VenueTSpace · 2018
Typedissertation
Language
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePsychology
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores how female charitable-sector leaders draw on dominant discourses and how they counter them in their talk about leadership and learning. Drawing on rich narratives coming out of female leaders’ interviews, I demonstrate how gender and identities are constructed through dominant discourses drawing on feminist post-structuralism and intersectionality theory. This inquiry uses a transdisciplinary discursive approach combining Critical Discourse analysis (CDA), Feminist Post-structuralist Discourse Analysis (FPDA), and Discursive Psychology (DP). Drawing on these approaches ensures that gender remains at the forefront, that a connection occurs between societal discourses and day-to-day talk, and that the research attends to how subjectivities are created through talk. The intention is fourfold. First, this research aims for a greater understanding of how present masculine constructions of leadership are manifest in charitable organizational leaders’ talk. Second, it explores how such masculine leadership ideals are negotiated and challenged. It identifies how these discourses occur and create points of tension or ideological dilemmas. Third, it investigates moments where dominant discourses are contested in talk. Finally, this research considers how learning is implicated in these processes. The findings demonstrate, first, that women are positioned through dominant discourses of leadership, gender, and difference, and that this places them as something “other” than a leader. Dominant discourses, though they circulate broadly, penetrate the non-profit sector contextually. Second, the findings establish that charitable-sector leaders negotiate and challenge dominant discourses. Third, the findings demonstrate that women contest these notions through discursive mechanisms, including naming dominant discourses, using non-damaging discourses, and rediscursivization. The contestation of dominant discourses also occurs contextually and, sometimes, in contradictory ways and works to challenge the status quo. Fourth, learning is embedded in discourse resulting in women learning in and through dominant discourses as they lead. This research contributes to the understanding of how dominant masculine rationality is learned and perpetuated in leaders’ talk, as well as how it is challenged. This, in turn, provides new methodological tools and discursive approaches to research and the practice of social change work not only in the non-profit sector but also in leadership learning and social policy development.

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)0.006
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 score0.161
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0480.010
Scholarly communication0.0090.001
Open science0.0020.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.000

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 head0.082
GPT teacher head0.283
Teacher spread0.202 · 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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