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Record W2183040397 · doi:10.36510/learnland.v7i2.662

An Important Reminder: Structuring a Classroom Environment That Honours All Students

2014· article· en· W2183040397 on OpenAlexaffvenue
Brenna Millard

Bibliographic record

VenueLEARNing Landscapes · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeStructuringSpace (punctuation)Affect (linguistics)Mathematics educationPedagogyPsychologyComputer scienceCommunicationArtLiterature

Abstract

fetched live from OpenAlex

All children, regardless of ability, should feel valued and respected in their classroom. At times, the children who struggle miss out on purpose-driven, meaningful learning because they are classified by what they cannot do instead of honoured for what they can do. Through my narrative of Henry, I explore the importance of truly coming to know each student as a learner in the classroom. I begin by reflecting on my own experiences in school as a student and then as a beginning teacher. I then explore the use of the reader’s workshop model and discuss how I have used it as an approach to differentiated teaching and learning in a way that creates space for relationships to grow and students to be supported. Finally, I conclude by revisiting my story of Henry and reflect on how his story, and implementing the reader’s workshop model, will continue to affect my teaching as I grow both as a teacher and learner.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0070.009
Scholarly communication0.0050.009
Open science0.0020.006
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.367
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2014
Admission routes2
Has abstractyes

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