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Record W4405214074 · doi:10.26522/ssj.v18i4.4389

An Intervention in Educational Inquiry: Re-membering, Honoring and Practicing a River’s Ways of Knowing and Being

2024· article· en· W4405214074 on OpenAlexaffvenue
Magali Forte

Bibliographic record

VenueStudies in Social Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIntervention (counseling)SociologyPedagogyPsychology

Abstract

fetched live from OpenAlex

Answering this special issue’s call to reckon, repair and reworld, and following an ethical imperative to re-think social and educational structures, I turn to the wisdom of rivers. In the current settler colonial climate of near inertia that we live in, there is an urgent need to reckon with ways of being and knowing that go beyond the mainstream taken-for-granted habits of conventional educational research. Thinking with Indigenous perspectives, I problematize the Eurocentric worldview I was raised in and consider, in my capacity as a non-Indigenous educator and inquirer, some principles rivers can teach about educational inquiry. A series of photographs of the Chehalis River and personal vignettes allow me to trace and articulate a feminist and decolonial approach to my own inquiry. I consider how reciprocity, language and movement – three teachings gifted by the river – invite me to be, think, and act as an educator and an inquirer engaged in reconciliation. As many rich and diverse Indigenous perspectives have always reminded us, we have a responsibility to listen to and care for all our relatives, human and more-than-human. This is one important way we can work to transform our collective thinking, actions and future in education.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.146
GPT teacher head0.475
Teacher spread0.329 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes2
Has abstractyes

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