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Record W2914799082 · doi:10.1080/13603124.2018.1543804

Empowering teacher leadership: a cross-country study

2019· article· en· W2914799082 on OpenAlexaboutno aff
Clelia Pineda Báez, Cheryl Bauman, Dorothy Andrews

Bibliographic record

VenueInternational Journal of Leadership in Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEducational leadershipTeacher leadershipInstructional leadershipShared leadershipLeadership stylePedagogyPublic relationsLeadership studiesAgency (philosophy)Nature versus nurtureSociologyCommitLeadershipCollaborative leadershipTransactional leadershipWork (physics)Servant leadershipPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The contextual, purpose-driven challenges facing schools and school systems across the world call for creative and innovative responses to revitalize school practices. The process of revitalization will require new thinking, new mindsets within an adaptive school culture and new leadership roles (formal and informal). Often the perception of leadership held within a school is that it is the province of the principal; however, if we move from a top-down model of leadership we can ulitize the capacity of others within to lead the learning. To enable this to happen, teacher leaders need to work with agency and principals need to nurture and grow their formal and informal leadership roles within the school. For many teachers, the question is how they can establish and commit to leadership roles and responsibilities within the school community while remaining in a teaching position. This case study examined the practices of teachers as they experienced leadership across three cross-cultural contexts: Colombia, Canada and Australia. It presents exemplars of teacher leadership in action and provides images of teacher leadership as enacted in addition to an understanding of the factors that were important in supporting their leadership actions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.218
GPT teacher head0.470
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations56
Published2019
Admission routes1
Has abstractyes

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