MétaCan
Menu
Back to cohort
Record W4391153651 · doi:10.55016/ojs/ajer.v63i1.56295

“It Doesn’t Feel Like a Natural Fit”: Co-operating Teachers Account for Their Evaluation and Assessment of Pre-service Teachers’ Efforts to Fulfill Social Justice Indicators

2017· article· en· W4391153651 on OpenAlex
Valerie Mulholland, Twyla Salm

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueAlberta Journal of Educational Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversity of Regina
FundersUniversity of Regina
KeywordsPsychologyEconomic JusticeSocial justiceNatural (archaeology)Service (business)Evaluation methodsApplied psychologyPedagogySocial psychologyMathematics educationBusinessPolitical scienceMarketingEngineeringCriminology

Abstract

fetched live from OpenAlex

Teacher education has long been troubled by the problem of reconciling what happens in course work with how that learning is taken up in practicum experiences. Our faculty asks co-operating teachers to account for interns’ professional growth by the extent to which the interns meet the requirements of the Internship Placement Profile (IPP). The study focuses on the eight IPP items which relate directly to “teaching for social justice.” The theoretical framework draws upon the literature of anti-oppressive/anti-racist pedagogies. Co-operating teachers and interns are expected to rely on the field manual that lists descriptors for each item of the IPP to assess growth and to set goals. The objective to understand how co-operating teachers perceive their intern’s ability to teach for social justice and reach their final evaluation was modified to reflect the finding that cooperating teachers were sometimes less familiar with these principles than were the interns.

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)0.010
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.526
Teacher spread0.410 · 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