‘Mommy that's the exit.’: Empowering homeless mothers to support their children's daily literacy experiences
Bibliographic record
Abstract
The present study examined how a six-week family literacy programme contributed to supporting the efforts 12 mothers living in a residential shelter were making to foster their preschool children's literacy development. We compared pre- and post-programme interviews to explore whether the mothers applied the literacy strategies discussed in the programme during their daily interactions with their children. Guided by our theoretical perspective, funds of knowledge, data, were analysed through the lens of a Family Strengths Model and thus focused on how learning opportunities were embedded within the families' daily experiences. Findings are presented under two main themes: (1) the mothers' use of the environment as a tool for literacy teaching and (2) use of programme materials and activity ideas in the home environment. Overall, findings indicate that the mothers applied strategies they learned in the programme to their daily interactions with their children, which indicate that the families participating in this study increased their involvement in their children's literacy learning. Our experiences with this transient population illustrate the importance of educators partnering with families, respecting what they are doing to support their children's literacy learning, and building on these efforts by providing them with resources and ideas that support literacy learning. Consideration should be given to the types of resources provided to families living in non-permanent housing in order to maintain their access to literacy activities.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".