Critical Entanglement: Research on Culturally and Linguistically Diverse Parental Involvement in Special Education 2000-2010
Bibliographic record
Abstract
If parental involvement in a child’s education is generally viewed in positive terms, then it is important to understand what sorts of barriers might hinder it. This article reviews literature on culturally and linguistically diverse parental in-volvement in special education in the United States and Canada. In analyzing 20 articles published in eight prominent journals between 2000 and 2010, the author considers what research has to say about what influences culturally and linguisti-cally diverse parental involvement. Applying the lens of social-cultural capital led the author to examine three core themes in the literature, namely perceptions, people, and systems. Because these three themes interlock so tightly, the author devised the overarching metaphor of critical entanglement, which is vital to the process of recognizing and addressing barriers that culturally and linguistically diverse parents potentially face. Implications for research are discussed in the recommendation and conclusion segments of this article.
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 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 | 0.016 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".