MétaCan
Menu
Back to cohort

Transformational Leadership Style

2023· book-chapter· en· W4386334837 on OpenAlexaffabout
Darcia Ann Marie Roache

Bibliographic record

VenueAdvances in logistics, operations, and management science book series · 2023
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsUniversity of SaskatchewanUniversity Canada WestCapilano University
Fundersnot available
KeywordsTransformational leadershipGrounded theoryLeadership stylePsychologyEmpowermentEmotional intelligenceKnowledge managementQualitative researchSample (material)Leadership studiesStyle (visual arts)Set (abstract data type)Applied psychologySocial psychologyPolitical scienceSociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

The qualitative study used a grounded theory approach on interview using a standard set of questions about transformational leadership style, management, and communication strategies for organizational effectiveness and employees' performance. The study sample was 10 participants from organizations in America, Canada, and Jamaica. The NVivo 10 qualitative analysis software was used to assist in the development of codes, categories, and themes from the interviews, using data obtained and analysed from the constant comparison method. The findings contribute to the body of knowledge on how transformational leadership styles, management functions, and communication can create initiatives for organizational leaders' success globally. The conclusion indicated that organizational effectiveness is grounded in transformational leadership style, employees' motivation, empowerment, and emotional intelligence.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.048
GPT teacher head0.252
Teacher spread0.204 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations10
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAdvances in logistics, operations, and management science book seriesSame topicOrganizational Leadership and Management StrategiesFrench-language works237,207