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Record W4283258998 · doi:10.29173/ijll14

Conceptualizing a Foundation to Lead a School–University Research Partnership

2022· article· en· W4283258998 on OpenAlexaff
Sarah Hamilton, Dana Braunberger, Barbara Brown

Bibliographic record

VenueInternational Journal for Leadership in Learning · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicEducational Assessment and Improvement
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)Foundation (evidence)TerminologyEngineering ethicsDocumentationAction researchSociologyInterpretation (philosophy)Public relationsPedagogyPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Research within schools has taken place for decades, yet longstanding skepticism between researchers and practitioners has resulted in hesitation to work together to develop research partnerships. Two school-based leaders and one university researcher sought to conceptualize a foundation for their school–university research partnership. During the initial stages of the partnership development, terminology and interpretation of language used to describe research in schools emerged as both an area of concern and an opportunity for exploration. The partners recognized a need to revise their lexicon from terms that implied teachers needed assistance fixing “problems of practice” to terms promoting an approach embracing innovation and a strengths-based practice in schools. Through an action research approach, the authors draw on their meeting notes, reflections, and documentation to describe the process they used to develop a research-partnership model. Results from this inquiry explicate how partners reflected on their leadership approach, key moments, and a changing context to develop guiding principles and a partnership model with potential for sustainability.

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)0.014
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.717
GPT teacher head0.557
Teacher spread0.160 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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