The Anthropocene Obscene: Poetic inquiry and evocative evidence of inequality
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 Poetic inquiry is used to highlight contrasting lived experiences of vulnerability and worsening socio‐ecological outcomes among Australia's fastest growing coastal communities. Our approach interweaves multiple participant voices across local and national scales to juxtapose the contrasts of inequality, enmesh social and ecological experiences, and ask reflexive questions of audiences. We offer an evocative portrayal of inequality to the growing body of work demonstrating that unequal and intensifying vulnerabilities are created and sustained through complicated, non‐adaptive and hierarchical social systems. We demonstrate that poetic inquiry can interrogate complex system phenomena and broad concepts, such as the Anthropocene, to distil critical and systemic issues while retaining undeniable connections with the deeply personal implications of socio‐ecological change. Hence, poetic inquiry can serve analytical and descriptive purposes towards an emotional and political aesthetic providing a compelling reorientation from more conventional modes of inquiry and representation. In this study, the misuse of power and privilege in the Anthropocene is reduced and revealed as the Obscene .
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 | 0.001 | 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 | 0.002 |
| 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