Intermedial microtexts in the Anthropocene. From Aesthetics to Ethics
Bibliographic record
Abstract
This article explores the multidimensionality of intermedial microtexts from the perspectives and intersections between new materialisms and aesthetics. The objective is to rethink the ethical aspects behind posthuman micronarratives based on the mapped relations that are simultaneously material (between things) and semiotic (between concepts). Focusing on the case of intermedial microtexts, a transductive phenomenon occurs that enhances mechanisms of coagency. This study explores two projects that give visibility to nonhuman co-agency. I begin with an examination of the voice of the digital machine, as mediated in Mez Breeze's "Anthropo[S]ceney||AnthropO[bs]cene", and continue with a cut-up photomontage in "Grandmother Poem" by Andrejs Kulnieks. Both microtexts highlight the complex exchanges between nature, culture and semiosis. Both micronarratives lead readers through an intermedial journey, crossing the ocean of posthumanities from Australia to Canada.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.003 | 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 teacher head, 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".