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Record W3203058057 · doi:10.33524/cjar.v22i1.533

Exploring Veteran Teachers' Collaborative Action Research Experiences Through a School-University Partnership: "Old Dogs" Try New Tricks

2021· article· en· W3203058057 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Action Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Military Integration
Canadian institutionsnot available
Fundersnot available
KeywordsAction researchGeneral partnershipProfessional developmentQualitative researchFaculty developmentPedagogyPractitioner researchMedical educationAction (physics)Participatory action researchSociologyPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This article shares insights from the experiences of three high school practitioners and two university faculty who participated in a school-university-based action research program as a voluntary part of the teachers’ professional development. The three high school practitioners conducted action research projects around questions that stemmed from and were relevant to their own teaching practice. As part of the action research program, the practitioners were paired with university faculty to support the research. Building on practitioner inquiry traditions and critical case study methodologies, this study used qualitative methods to explore the experiences of practitioner action research processes. Drawing on in-person meeting notes and reflective memos, four key ideas emerged: Infrastructure, We are all Partners in Education, Engaging Pathway for Experienced Teachers, and Challenges. Insights gained from this inquiry will have implications for professional practices in the areas of school-university partnership, professional development, and action research process.

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.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.688
GPT teacher head0.525
Teacher spread0.163 · 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