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Record W4206310813 · doi:10.52547/johepal.2.4.27

Praxis-Poiesis: University–Community Relationship in an Epoch of Uncertainty and Disruption

2021· article· en· W4206310813 on OpenAlexafffundabout
Shannon A. Moore, Sarah Ciotti

Bibliographic record

VenueJournal of Higher Education Policy And Leadership Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsBrock University
FundersBrock University
KeywordsPraxisSociologyContext (archaeology)EthnographyPublic relationsPolitical scienceSocial scienceLawHistoryAnthropology

Abstract

fetched live from OpenAlex

This paper presents findings from a critical ethnographic study that spanned 3 years from 2018 to 2021 in a Canadian postsecondary context and engaged transdisciplinary quantum feminisms as a conceptual framework. The purpose of the study was to formulate an ethical frame of reference that could facilitate exchanges within university-community partnerships. This study was ongoing as the global COVID-19 pandemic unfolded, a time frame that also paralleled heightened social and political awareness of racial disparity in Canada, the United States, and around the globe. These factors prompted the authors to expand the scope of the project midway to also consider the impact of COVID-19 on university-community partnerships. Given this, a main research question guides this study: What qualifies universitycommunity partnerships as ethical? It is contextualized by a secondary question: What is the impact of the COVID-19 pandemic on university-community partnerships? Findings from this study led to the development of an ethical frame of reference for university-community partnerships entitled Praxis-Poiesis: Intentional Allyship

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)0.002
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 score0.349
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.309
GPT teacher head0.468
Teacher spread0.159 · 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

Citations3
Published2021
Admission routes3
Has abstractyes

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