'A Day in the Life': an international study of two-year-old girls and their families.
Bibliographic record
Abstract
This paper presents a synthesis of findings from an international project studying the moment-by-moment mutual adaptation of two-year-old girls and their families engaged in everyday activities (Gillen & Cameron, 2010). This sociocultural study has involved a multidisciplinary team studying seven children in family settings in Canada, Italy, Peru, Thailand, Turkey, UK and USA. We sought to identify diverse ways of thriving, through an interpretive methodology with the videoing of a 'day in the life' of each child and her interactions with the environment, including caregivers, at the core. Our methodology involved dialogues with the families and between researchers. In this presentation we demonstrate findings from the Italian day, to illustrate activities that we have observed common to all settings. We do this through the presentation of three vignettes selected to illustrate our interpretive approach, our investigations into what might be considered innovative developmental domains such as musicality and which lead us towards an interactional perspective on multimodality. Our glimpses into the children’s domestic worlds support a generally bidirectional view of socialisation (Pontecorvo, Fasulo, & Sterponi, 2001), as children and adults reciprocally co-construct their lives. Close examination of (relatively) naturalistic data has assisted the analysis of this element of the ecocultural framework within which these children and adults mutually adapt their diverse needs and intentions.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".