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Record W4220748540 · doi:10.32920/19450301

Indigenous Early Childhood Educators in Mainstream Child Care

2022· preprint· en· W4220748540 on OpenAlexaffabout
M. Jose Simon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSt. Lawrence CollegeSeneca PolytechnicToronto Metropolitan UniversityEducation and Early Childhood Development
Fundersnot available
KeywordsMainstreamIndigenousSpace (punctuation)Early childhoodEarly childhood educationSociologyQualitative researchPedagogyPolitical sciencePsychologySocial scienceDevelopmental psychologyLaw

Abstract

fetched live from OpenAlex

This research is an interpretive qualitative study of 10 Indigenous early childhood educators in mainstream child care in Southern Ontario. The study explores the lived experiences of these Indigenous early childhood educators in mainstream child care. Semi-structured interviews were conducted, allowing the Indigenous early childhood educator to share their stories. Analysis of the participants’ stories through the lens of circularity helped identify how Indigenous early childhood educators were making and holding space for Indigenous pedagogy in mainstream child care. Critical reflection on the stories identified keys findings: 1) The ethical space of engagement was employed in the making of space, 2) Relationships were built within the ethical space, 3) Land knowledge and engagement ensured the holding of the space, and 4) The spirit of the child was fostered within the ethical space through relationship and engagement. This study was conducted in the Indigenous research paradigm upholding relationality and relational accountability, employing a circularity in the analysis.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.607
Threshold uncertainty score0.791

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0150.012
Scholarly communication0.0040.002
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.283
Teacher spread0.275 · 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 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
Published2022
Admission routes2
Has abstractyes

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