MétaCan
Menu
Back to cohort
Record W2297777589 · doi:10.1111/lit.12074

Teacher expectations and student literacy engagement and achievement

2016· article· en· W2297777589 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLiteracy · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNarrativeSituatedPsychologyLiteracyPedagogyMathematics educationNarrative inquiryLinguistics

Abstract

fetched live from OpenAlex

Abstract Notwithstanding the complex and dynamic nature of teaching and learning in schools, over four decades of research findings have consistently revealed a correlation between teacher expectations and student achievement. Focusing on teacher expectations for the narrative structures created by young children, this article features a discussion of data gathered during a multifaceted study with 7‐ and 8‐year‐old students. The overall purpose of the case study research was to explore the development of student understanding of elements of visual art and design and diverse narrative structures in picturebooks. For the culminating activity of the research, the students had opportunities to apply and transform their knowledge of the instructional foci when they composed their own multimodal print texts. Analysis of the students' narrative structures revealed the multiple forms of metalepsis, the purposeful breaking of storyworld/narrative boundaries, evident in their writing and artwork. In addition to a discussion about the socially situated nature of the children's multimodal text‐making, the article includes a consideration of the importance of teacher expectations with respect to student literacy engagement and achievement.

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)0.000
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.297
Teacher spread0.270 · 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