Pandemic-Provoked “Throwntogetherness”: Narrating Change in ECEC in Canada
Bibliographic record
Abstract
In Canada, multiple, intersecting, and incommensurable narratives promote investment in a public ECEC system. These dominant narratives are typically justified through an entanglement of discourses, including gender equity, colonialism, developmentalism, investment in children as future workers, and childcare as social infrastructure. With COVID-19, renewed economic arguments propose ECEC as an essential service, jump-starting an economy ravaged by the pandemic. Taking up a conversational approach, we question the potency of dominant narratives proliferated in media and policy initiatives as a way to effect large-scale change, and we seek to better understand alternative narratives of ECEC. We are drawn to those spaces where a range of new texts and narratives are generating possibilities for transformative changes. We co-create a bricolage of minor stories (Taylor, 2020) of change, keeping in mind Eve Tuck’s (2018a) theory of change and Elise Couture-Grondin’s (2018) premise of stories as theory. Keywords: early childhood education, policy, change, COVID-19, colonialism, throwntogetherness
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.041 | 0.037 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".