Bibliographic record
Abstract
Angela E. Marsh explores her art project entitled It’s really just a love story as an act of care, both on the intimate and societal level, addressing human as well as ecological restauration needs, where intersections between fields of study and diverse ways of knowing and experiencing are explored. Seeing the art project as a possible interface for processing our current, troubling realities in the Anthropocene, our aesthetic experiences becomes active agents in re-establishing and re-defining our kinships with nature, inspiring us to slow down to find out what we can learn from the resilience of our wild plant kin.Marsh argues for the need to destabilize the status-quo management of our natural spaces and makes the case for new, de-hierarchized and de-colonized,interspecies relationships. The art project is understood as a creator of experience and dialogue, understanding new reciprocal relationships of care betweenhuman and plant species, and evoking the breakdown of the Cartesian separation of culture-nature binary to allow the emergence of holistic, systems-basedconceptions of our place in the world.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.026 | 0.008 |
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".