Digital Storytelling to Amplify Heritage Learner Identities and Voices
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
Abstract This study presents four case studies of heritage learners of Spanish who participated in a digital storytelling project in an advanced Spanish course at a university in Western Canada. Through a series of face-to-face and remote workshops, each learner scripted a story containing a language-related event that allowed them to make meaning and reflect on their past experiences as related to language attitudes and ideologies experienced by themselves and others during the event. Data was collected from multiple sources including the participants’ videos and video scripts, written reflections, a questionnaire, and interviews. The participants’ stances and positionings within their digital stories, interviews, and reflections on the project offer revealing insights into their meaning-making processes through digital storytelling. Using a narrative analytical approach, the data analysis resulted in four overarching themes of personal growth, heritage speaker identity, positioning by others, and linguistic [in]security.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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