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The early childhood educator critical conversations in feminist theory

2023· other· en· W6929591204 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsMaterialismFeminist theoryEarly childhoodAgency (philosophy)Queer theoryFeminismGlobeFeminist philosophy

Abstract

fetched live from OpenAlex

"Across the globe the work of early childhood educators, who are predominantly women, is misunderstood, underpaid and undervalued. Perspectives on early childhood educators are highly contentious: are they child development experts, oppressed workers, maternal substitutes, technicians, facilitators of early learning, or something else? This volume features chapter authors from Australia, Canada, Norway, Sweden, the USA and New Zealand, who work with a particular feminist perspective. The feminist theories covered include materialist feminism, poststructural feminism, decolonizing feminisms, post humanist feminism, new materialist feminism, feminist ethics of care, womanist feminism, postcolonial feminism, femme theory and feminist queer theory. The chapter authors describe the key themes of these theories and explore how they can illuminate our understandings of the early childhood educator. The editors of the volume offer an introduction and commentaries that explore solidarities and tensions between the feminisms to generate critical conversations about the work, lived experiences, and agency of early childhood educators. The volume contributes to shifting understandings of the early childhood educator in the contexts of culture, practice, policy and politics."--

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)0.011
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0200.045
Scholarly communication0.0130.011
Open science0.0020.006
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.394
Teacher spread0.357 · 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
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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