Caregiving through a Relationship Lens in Reggio Emilia and a Lab School in Canada
Bibliographic record
Abstract
In recent years developmental scientists have described the tasks of relationship-building that contribute to early development: security and attachment, self-recognition and validation, mutuality and companionship, passionate experience, identification and group belonging, and giving care to others. Relationship-building begins within the family, then, in extending it outside the family, early education can play a key role. This selection contains two parts. The first piece describes the kinds of benefits these widening relationships can provide for very young children and outlines some specific steps that educators in Reggio Emilia, Italy, have taken to ensure the best, most "amiable" environments. The second piece, written by Alex Doherty in collaboration with Carolyn Edwards, applies the relationship framework to a context in Canada, a laboratory school for infants, toddlers, and preschoolers in a small community college in dialogue with Reggio Emilia educators and their approach.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.054 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".