#indigenousauthor: locating Tenille Campbell’s erotic poetry, photography, and community-based arts beyond social media
Bibliographic record
Abstract
Guided by a desire-centred framework, this article explores how Tenille Campbell (Dene/Métis) uses Instagram as a space for contemporary muiltimedia artistic practice. Her poetry, photography, and other creative endeavours have presented meaningful opportunities for community-building and identity-affirmation as a force specifically for Indigenous resurgence across national, tribal, and geographical lines. The first section begins with a discussion of desire-centred research as it intersects with Indigenous new media studies and decolonial methodologies. Later sections argue that Campbell’s artistic expressions nurture emotional, mental, communal, and spiritual connections to land, thereby growing a virtual landedness—especially in relation to the erotic, which best captures Campbell’s project of community-building and identity-affirmation. Lastly, this article highlights the remediation of Campbell’s poetry into fashionwear, which simultaneously cultivates networks of Indigenous women entrepreneurs. Her poetry, evinced as a co-creative, community-based, multidisciplinary literary arts practice, surpasses its manifestation on social media, and should be understood as a multimodal constellation that has impacts that ripple far beyond digital environments.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".