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Record W2125890781 · doi:10.2304/ciec.2008.9.2.173

Early Childhood Voices: Who is Really Talking?

2008· article· en· W2125890781 on OpenAlexaff
Jennifer Batycky

Bibliographic record

VenueContemporary Issues in Early Childhood · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCognitive reframingOppressionSilenceNarrativeSociologyEarly childhood educationContext (archaeology)PedagogyPower (physics)Perspective (graphical)CurriculumPower structureEarly childhoodSpace (punctuation)CourageGender studiesPsychologyAestheticsSocial psychologyEthnographyPoliticsDevelopmental psychologyHistoryPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

The early childhood classroom is a space filled with contradictions. While a primary classroom is full of possibility, there exists a quiet narrative that we take for granted which serves to silence the voices of both children and teachers. This narrative is powerful in the space it occupies and within these contexts it manifests itself in a variety of ways. The goal of this article is to highlight some of the ways in which we are silenced and perhaps offer the courage to reframe our daily lives in the early childhood context. The article is inspired from a critical theory perspective, taking into consideration the issues related to power and oppression. The author believes these themes are real and very alive in our classrooms and it serves us as teachers to look critically at our circumstances so that we may begin to reclaim our voices. To deny that themes of oppression exist in our spaces is to further deny our voices, as teachers, and of those of our youngest learners. This article examines the following themes of classroom spaces and curriculum. The author observes that these themes play themselves out in her own classroom and other early childhood settings, which she believes serve to silence the voices of those who live in these spaces.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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.

Study designObservational
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

Citations7
Published2008
Admission routes1
Has abstractyes

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