"Living in the time of the butterfly:" Engaging more-than-human temporalities to rethink biodiversity conservation
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
This article describes the ecological accounts of Jñato and Hñähñu (also known as Mazahua and Otomi) people who inhabit a territory that is today the Monarch Butterfly Biosphere Reserve in México. We draw on their narratives, documented through a multiyear historical and ethnographic study, to discuss multispecies temporalities and reciprocal relations across more-than-human entities. Analyzing local environmental knowledge through "deep time" and relational perspectives, we invite conservation and environmental studies scholars to reconsider epistemological assumptions about time and the Anthropocene. We do so by documenting the multispecies rhythms and temporalities maintained in our research sites from time immemorial. In contrast with linear notions of time, these rhythms operate cyclically through reciprocal gifting between plants, humans, and other entities such as a water spirits and witches. The "deep time" lens that such practices offer, we suggest, can enrich biodiversity conservation and more-than-human political ecologies. We conclude by stressing that this relational "world-making" is also power-laden. Political identities are embedded in, and reconstructed through, a complex political economy and uneven relations of knowledge production. Together, these constitute what we call "the time of the butterfly."
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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