Identity Texts and Academic Achievement: Connecting the Dots in Multilingual School Contexts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The construct of identity text conjoins notions of identity affirmation and literacy engagement as equally relevant to addressing causes of underachievement among low socioeconomic status, multilingual, and marginalized group students. Despite extensive empirical evidence supporting the impact on academic achievement of both identity affirmation and literacy engagement, these variables have been largely ignored in educational policies and instructional practices. The authors propose a framework for identifying major causes of underachievement among these three overlapping groups and for implementing evidence‐based instructional responses. The framework argues that schools can respond to the devaluation of identity experienced by many students and communities by exploring instructional policies and strategies that enable students to use their emerging academic language and multilingual repertoires for powerful identity‐affirming purposes. Drawing on projects involving First Nations and immigrant‐background multilingual students, the authors document the profound transformations in academic, intellectual, and personal identity that multimodal identity text work is capable of engendering.
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.
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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 it