Review of Guardado, M. (2018). Discourse, ideology and heritage language socialization: Micro and macro perspectives. Walter de Gruyter, pp. 283.
Bibliographic record
Abstract
In his first single-authored book, Discourse, ideology and heritage language socialization: Micro and macro perspectives, Martin Guardado re-examines the body of knowledge he has generated on HL development in Canada over the past 20 years in order to continue important conversations about how to fruitfully examine this complex phenomenon from various theoretical and methodological perspectives. In line with the majority of HL researchers, his interest in HL development is rooted in his belief that heritage languages are essential "tools for language minority parents to socialize their children into value systems, which subsequently aid in their integration insofar as a family united by a common language and culture is more resilient in times of challenge or adversity" (p. 15). A tireless scholar, educator, and HL development advocate, in this book, Guardado provides a thoughtful reflection on the history of the field itself, a thorough analysis of extracts from his own dataset, and stimulating directions for the field to take, particularly in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".