Bibliographic record
Abstract
With renewed interest for research involving Indigenous peoples, nations, and communities following the height of the Idle No More movement and, more recently, the release of the Indian Residential School Truth and Reconciliation Commission’s final report, this research in brief argues that there is a need for researchers to recognize the history of the Western academy’s relationship with Indigenous peoples and its legacy of contributing to colonization. As a result, communication scholarship should seek to embrace and even privilege Indigenous knowledges in research, when appropriate, and accept research goals of Indigenous social justice based on decolonizing methodologies. The collaborative nature of research means that there is ample opportunity to speak up when research fails to include Indigenous ways of knowing.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.313 | 0.239 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.042 | 0.192 |
| Scholarly communication | 0.043 | 0.092 |
| Open science | 0.011 | 0.044 |
| Research integrity | 0.031 | 0.057 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".