“With Fear in Our Bellies”: A Pan-Canadian Conversation With Early Childhood Educators
Bibliographic record
Abstract
The highly gendered, classed, and racialized early childhood education and care (ECEC) workforce in Canada labours under exploitative conditions: low status and pay and lack of recognition. Early childhood educators have recently faced two additional contextual shifts that further complicate their daily work and practice: the COVID-19 pandemic and the Federal announcement of funding for a national universal childcare system. This paper is the result of a broader study that set out to uncover the innovative changes and practices in ECEC policy, practice, and pedagogy enacted across provincial/territorial boundaries in diverse communities across Canada with the hope of contributing to the ongoing conversation informing the development of a new system of ECEC in Canada. Qualitative data for this paper were derived from solicited photo collages and a video-taped webinar conversation with early childhood educators, responding to the following question: “What does it mean to be an early childhood educator at this moment?” Viewed through a critical lens, the findings elucidated four intersecting narratives: loss, sacrifice, adaptation, and hope. This paper contributes to ongoing discussions about the fluid and contextual nature of professionalism within ECEC. As we attempt to mobilize for transformative change and social action in the development of a competent ECEC system in Canada, it is imperative to provide space for the lived experiences, critical insights, and interwoven story lines offered by educators and children. Keywords: early childhood education, early childhood educators, professionalism, care, COVID-19
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".