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 In reviewing Indigenous approaches to open, distance, and digital education, the authors found that Indigenous people have been keen to adopt and adapt technologies for their own uses and purposes but are less successful in controlling and creating technologies that dominate the learning landscape. Given the scant literature available on this topic, using the methodologies of kitchen table talks, the authors dialogue their experiences working with Indigenous people and designs in open, distance, and online teaching and education. Through their storytelling, the authors elicit examples of experience in postsecondary education contexts in Canada including the use of talking circles, blended and inclusive learning, development of safe spaces and hubs, and challenges balancing home life and online learning. The importance of relationships, community connection, and validating self and identity in the learning experience were strong themes that emerged from the dialogue. Indigenous pedagogies and knowledges online is a relatively unexplored phenomenon and this initial foray into characteristics, successes, and challenges may be a starting point for future scholars to follow. By sharing highly contextualized narratives from Canada, we aim to increase the global dialogue around decolonizing ODDE and therefore end the chapter by examining our experience against ongoing international discussions.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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