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Record W2784914330 · doi:10.55016/ojs/ajer.v63i3.56156

Insight from Nunavut Educators Using Appreciative Inquiry

2017· article· en· W2784914330 on OpenAlexaffvenueabout
Jane P. Preston

Bibliographic record

VenueAlberta Journal of Educational Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsAppreciative inquiryPrideSociologyPedagogyHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

The purpose of this paper is to document some successful features of public schools within Nunavut, according to the personal experiences of a group of 14 principals, vice-principals, and teachers. At the start of this paper, I explained my research positionality, depicting my personal history and background related to this study. From a total of 24 individual interviews, three themes surfaced: culturally vibrant programs, the array of professional development offered to educators, and student self-pride and involvement in school activities. To conceptualize the findings, I applied the 4-D cycle of appreciative inquiry (i.e., Discovery, Dream, Design, and Destiny) and explained how effective change can emerge within a school system. Appreciative inquiry is a change process of identifying what is working well, deciphering why it is working well, and emulating more of those positive attributes. L’objectif de cet article est de documenter quelques-unes des caractéristiques des écoles publiques au Nunavut qui - selon les expériences personnelles d’un groupe de 14 personnes composé de directeurs, directeurs adjoints et d’enseignants - sont les mieux réussies. Je commence par expliquer mon positionnement comme chercheuse, évoquant ainsi mon histoire et mes antécédents personnels par rapport à cette étude. Trois thèmes ressortent des 24 entrevues individuelles : des programmes dynamiques sur le plan culturel, des possibilités en matière de développement professionnel pour les enseignants, et l’orgueil des élèves et leur et la participation aux activités scolaires. Pour présenter les résultats, j’ai appliqué la démarche des 4D de l’enquête appréciative (c.-à-d. découverte, devenir, décision, déployer) et j’ai expliqué comment le changement peut véritablement avoir lieu au sein d’un système scolaire. L’enquête appréciative est un processus de changement qui consiste à identifier les éléments qui fonctionnent bien, comprendre les raisons de leur efficacité et imiter davantage de ces aspects positifs.

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)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.268
GPT teacher head0.519
Teacher spread0.251 · 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.

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

Citations5
Published2017
Admission routes3
Has abstractyes

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