Reviewing research methods on adult migrants’ digital literacy
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
This article presents a selective literature review covering the period from 2016 to 2023, focusing on research published in peer-reviewed journals, to examine the methodologies employed in investigating the digital literacy of adult migrants and refugees. Three distinct approaches emerged: digital use study, ethnography, and pedagogical experimentation and intervention. These methods offer unique perspectives and complement each other in exploring how digital literacy can empower migrants to actively engage in the evolving digital landscape and facilitate language learning. The findings from a subset of 14 studies included in this review were categorized into a digital literacy taxonomy, aiming to inform language teaching practices tailored to the needs of migrants. This research addresses the urgent need for adapting language teaching and curricula in host countries to accommodate the increasing global migration and digitalization of learning. Additionally, suggestions for future research directions are provided to gain a deeper understanding of the specific digital literacy needs of this population and enhance the linguistic skills and social inclusion of newcomers.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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