Staging the Shadow: Writing, Academic Subjectivities, and Hidden Selves
Bibliographic record
Abstract
In this paper we explore our writing selves through the metaphors of concealment and display. We discovered the metaphoric possibilities opened up by Jung’s notions of persona and shadow and his emphasis on a rich psychic life that was animated by archetypes and symbolic meaning. This process helped us to glimpse alternative selves, that somehow live within us but are, like the shadow, neglected or pushed aside either due to institutional pressures to conceal or due to our own self-concept and our preferences for displaying certain identity types. Using poetic inquiry to access our unconscious feelings, we engaged in a process of writing that resulted in poetry and poetic vignettes. This type of arts-based practice helped us to disrupt the normative rationalist expectations surrounding academic work and intellectual production, and enabled us to create a space where agency and self-exploration were more accessible and transformative.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.045 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".