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
In 2017, in partnership with the UBC Longhouse and UBC Libraries,the Institute for Critical Indigenous Studies and the University of British Columbia Library began the annual “Honouring Indigenous Writers Edit-athon.” Each year, building out of events such as the Art + Feminism Wikipedia Edit-athon, our team of organizers work with Indigenous authors to improve the representation of Indigenous literatures online. We build consensual relationship with authors to revise Wikipedia pages, distribute organizer kits to interested collaborators, maintain an event dashboard, and host live readings from new and established Indigenous authors in Vancouver, Kelowna, and Alberta. The event itself is inspired by Daniel Heath Justice’s hashtag #HonouringIndigneousWriters, which he began on Twitter in 2015 to draw attention to the wide range of literatures available by Indigenous authors. With Justice’s consent, we build on his good work by furthering the reach of Indigenous literatures in digital and physical spaces. In this article, I suggest that #HonouringIndigenousWriters illustrates that any attempt to squarely demarcate boundaries between offline and online communities risks eliding the nuanced facets of relationality that are core to Indigenous literary studies. Bronwyn Carlson argues that in Indigenous engagements with the digital, there is often “no distinction between online and offline worlds; they are seamlessly enmeshed”. Productively blurring the boundary between online and offline worlds informs what critical and ethical and relational engagement in the digital must look like. Via a history of #HonouringIndigenousWriters, written from my perspective as one if its co-founders, I hope to illustrate how, as scholars of Indigenous literary studies, we can draw online and offline worlds into closer proximity and, as Warren Cariou urges us, find places to visit with stories.
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 | 0.000 | 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