Multispecies collaboratories: reconfiguring children’s more-than-human entanglement with colonization, urban development and climate change
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 paper shows how multispecies collaboratories work to complexify understandings of shared space with more-than-human others through collective inquiry and experimentation. Recognizing tensions produced through engaging childhood geographies research on stolen land, it proposes multispecies collaboratories as inextricably situated within the uneven flows of colonization, urban sprawl, and climate change. The authors present six collaboratory sticking points – the politics of green, confronted by the unexpected, bearing witness, boundary bursting, root problems, and troubling entanglement – to highlight possibilities and incommensurabilities inherent within. Sharing moments on Anishnaabe, Attawandaron, Lūnaapéewak, and Haudenosaunee territories in London, Ontario, and lək̓ʷəŋən and WSÁNEĆ territories in Victoria, British Columbia, they take a common worlding approach to reconsidering young children’s multispecies relations as always and already political, multifarious world-making forces. They argue for multispecies collaboratories as small but significant sites for unhinging children’s geographies from neoliberal, colonial logics, asking: What kinds of experimentation make it possible to activate a collective sense of relationality and reciprocity with the myriad of creatures with whom children share space? What is required of us to do so without retooling the colonial logics that contribute to the erasure of Indigenous peoples, more-than-human kinships, and connections to place?
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 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