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Record W3114249461 · doi:10.37119/ojs2020.v26i1.474

Communicating Elevated Academic Expectations: Positioning Students as Thinkers with Ideas to Share

2020· article· en· W3114249461 on OpenAlexaffvenueabout
Jennifer Mitton, Lia Lewis, Savannah MacDonald

Bibliographic record

Venuein education · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsSituatedCurriculumPovertySpace (punctuation)DemographicsNova scotiaLiteracyMathematics educationPedagogyQualitative researchFocus groupPsychologySociologyPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

The focus of this qualitative study is upon 15 Grade 12 students situated in an English Communications (ECM) classroom in rural Nova Scotia and the impact a daily classroom circle had upon their academic engagement. ECM is intended for students who may require further support to develop their skills as readers, writers, and language users as they enter the job market or community colleges. There is no formal curriculum for ECM, and often the demographics of such classrooms are comprised of some of the province’s most vulnerable populations. In this paper, we demonstrate the impact the daily classroom circle had upon late adolescents’ understanding of themselves as thinkers with ideas to share. Overall, we see this study as significant for teachers in high-poverty contexts, particularly the importance of using a classroom circle as a consistent space to communicate elevated expectations for students who have experienced academic struggles.
 Keywords: adolescent literacy; circle routines; qualitative case study; restorative practices

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.402

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.346
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2020
Admission routes3
Has abstractyes

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