‘Literacy nooks’: Geosemiotics and domains of literacy in home spaces
Bibliographic record
Abstract
Conceptualizations of the home have changed, particularly in respect to children’s rearing and development. An increased awareness of early intervention in meeting a child’s learning needs has filtered down into the organization of space in homes. Maximizing learning opportunities by creating ‘literacy nooks’, which involves carving out interactive domains in the home, has become a way of asserting parental agency in their children’s development. The Parents’ Networks project is an Australian Research Council (ARC) funded project that focuses on how specific locales, such as commercial retail outlets, playgroups, libraries, health services and home spaces, have become networks of information sourcing and learning. This paper refers to a sub-project derived from this larger study that focuses specifically on the home space. We suggest that within the home space, parents construct learning environments for preschool children based on concepts of ‘good’ parenting. Four case studies of family homes in the US town of Greystone (pseudonym) are presented, exploring how space is arranged to produce an environment conducive to learning and development. In this article, we locate interview and observational data within space theory to posit how learning is mobilized within and across home environments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.023 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".