Autobiographical memories of early language and literacy development
Bibliographic record
Abstract
The aim of this study was to apply a narrative, autobiographical approach to inquiry into the acquisition of language and literacy. This article reports the results of a qualitative analysis of nine women's written recollections of their early language and literacy development, as rooted in family, cultural, school, and community experiences and contexts, and the meanings they give to these memories. In these narratives recounted by adults about their childhood experiences, the stories are weighted with their own interpretations, and the events selected for retelling are ones that, on reflection and in the light of subsequent experience, they have come to see as formative in their lives. Key themes that participants discussed relate to the centrality of the family, their self-descriptions as avid readers, their negative perceptions of school, and their perceptions about the role of culture. Two contributions of this study are that it methodologically complements traditional observational approaches to language acquisition research, and that voices from underrepresented communities are heard. (Language Development, Literacy, Adult Learning, Narrative Analysis, Autobiographical Approach, Qualitative Research)
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".