7. Language and literacy socialization as resistance in Western Canada
Bibliographic record
Abstract
By drawing on data from participant observation, interviews and E-mail communication, this chapter, part of a larger study (Guardado 2008), examines the language and literacy socialization attitudes and experiences of a Spanish speaking family of Mayan-descent from Guatemala living in a large urban centre in Western Canada. It examines the family’s constructions of Spanish maintenance and provides an analysis of the challenges they faced in and outside the home in relation to the language and literacy socialization of their children. The chapter describes a particular family literacy event designed to socialize the children into Spanish language, literacy, and academic content, which at times was also used to raise questions about the hegemony of Western civilization. The analysis reveals the parents conceptualized Spanish maintenance as a necessary factor in socializing their children into positive ideologies and affiliations about their languages and cultures. At the same time, the analysis illustrated how the parents fought an ongoing battle against the societal assimilative forces in their efforts to raise multilingual children. These findings also highlight how the parents’ understanding of the complexities associated with L1 maintenance is one of the keys to success in this regard, along with the cultural, social and economic capital (Bourdieu 1986) necessary to provide children with an enriching experience. The chapter concludes with policy, pedagogical and research implications.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".