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Record W7134239116 · doi:10.26181/14714766.v1

Tracing transit (in)tensions between settler colonized ECE contact zones

2019· article· W7134239116 on OpenAlexaboutno aff
Sherri-Lynn Yazbeck, Miriam Brown, Ildikó Danis, Narda Nelson

Bibliographic record

VenueLa Trobe University · 2019
Typearticle
Language
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsWonderTRACE (psycholinguistics)CuriosityMateriality (auditing)Work (physics)Tracing

Abstract

fetched live from OpenAlex

Tracing the curiosity of children, educators, and researchers at a childcare centre in Melbourne, Australia and Victoria, British Columbia, Canada, we wonder how we might connect digitally across continents while thinking with place-specific encounters and tensions. In this article we share stories and unexpected (in)tensions that arise during a FaceTiming inquiry to invite questions that unsettle sedimented notions of who and what belongs inthe colonized places in which our settler educator practices take place. Provoked by Donna Haraway’s SF string figure method and situating our work within a common worlds framework, we seek new ways of connecting and transiting between our respective contact zones. In this article, we follow and pull at unsettling threads with the giving and receiving of two puppets, Bunjil and Waa, as they travel from their home in the Australian settler contact zone to the hands of those in the Canadian settler contact zone. These practices trace how these woven threads presence transit (in)tensions continue to stretch our thinking and modes of participating in our attempts at becoming accountable within the common worlds and our stories. How might this messy work make visible our accountabilities and inheritances in places of ongoing settler colonialism?

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.258
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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