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Record W4416831593 · doi:10.47061/jasc.v5i2.10299

Dancing and Tending the Spaces-in-Between

2025· article· en· W4416831593 on OpenAlex
Lindsay Cole, Lily Raphael

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Awareness-Based Systems Change · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsQuest University CanadaUniversity of British Columbia
Fundersnot available
KeywordsPraxisTransformative learningSpace (punctuation)Public sectorDancePublic space

Abstract

fetched live from OpenAlex

This article offers theory-informed, learning-oriented, and imaginative insights into working in and with the unique stuckness of public sector organizations when trying to generate and catalyse transformative innovations on complex challenges. Imagining and enacting systems transformation in the public sector is transdisciplinary, creative, often subversive, and definitely daunting. We focus here on the Two Loops Model as a helpful archetype, a theory of change, and a creative prompt for systems transformation. Unlike many other models of transformation that are ultimately oriented toward finding and scaling solutions, Two Loops shows the dominant and emergent systems in an oscillating dance with a clear space between. We found this space to be an overlooked and potent place of praxis in our work, perhaps particularly so in the public sector, which tends to perpetuate the dominant system even when “innovating.” In this article, we dive deeply into this space to see what new and different perspectives it offers when working on complex challenges. We draw upon Black, Indigenous, queer, feminist, and decolonial scholars to help us think more deeply into this space, which is variously described as fugitive, wayward, hospice, Trickster, break, refusal, and snap. We then engage with this thinking in our own practice space—a public sector innovation lab inside local government. We visualize nine different views into and from this potent space-in-between and how we worked in, with, and from these views in our practice. Using engaged theory, reflective practice, images, metaphor, and poetic language, we aim to open up different possibilities for transformation efforts in the public and other sectors. We invite you to join us as we dwell in the messy, ambiguous, inner and outer work in this space, where we grapple with what we might need to do less of, and what we may need to do more of, in our efforts to move away from the dominant what is, and toward the emergent and resurgent what must be/come.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.294
Teacher spread0.228 · 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