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“YOU CAN’T ENGAGE IN DECOLONIZING WORK ALONE”

2024· book-chapter· en· W4416744776 on OpenAlexaffabout
Gibbs Holly, Hagerman Brent, Hodson Erin, Iqbal Sobia, Klassen Chris, K Schroder Lisa, Marshman Jennifer, White Marybeth

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsTransformative learningImpermanenceIsolation (microbiology)Professional learning communityWork (physics)Higher educationCommunity of practiceService-learningPower (physics)

Abstract

fetched live from OpenAlex

Relationships are central to the processes and outcomes for both decolonizing work in higher education and communities of practice that support faculty learning and professional development. Yet the development of these meaningful learning relationships is in direct tension with the isolation, precariousness, and impermanence of contract teaching faculty who make up more than half the academic labor force in Canadian universities. Our chapter describes a multidisciplinary online Contract Teaching Faculty (CTF) learning community called “Decolonizing and Indigenizing the Classroom.” Our community set out to challenge power relationships in interconnecting systems in higher education to make space for decolonizing work by building, deepening and expanding new and supportive learning relationships between CTF and with our students. As nine participants we look at the value of CTF learning communities by assessing the ongoing impacts of our commitment to transformative learning—our own and our students. We highlight the role CTF learning communities can play in inspiring and sharing pedagogical innovations. We outline the benefits of CTF learning communities for nurturing community and helping overcome the institutional isolation of CTF and our physical isolation exacerbated by the pandemic. We also recognize the challenges and limitations our CTF learning community faced. As precarious workers who are marginalized by this system that exploits and devalues CTF, how can we teach, model, and learn within the colonial systems at work in higher education when we are relatively powerless to affect change?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.250
Teacher spread0.223 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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