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Record W4390108895 · doi:10.29173/isotl695

Expanding a Professional Learning Community to Focus on Inclusion, Belonging, and Student Success

2023· article· en· W4390108895 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueImagining SoTL · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsNipissing University
Fundersnot available
KeywordsInclusion (mineral)DisadvantagedEliteInstitutionPedagogyClubProfessional developmentClass (philosophy)Higher educationFaculty developmentLearning communitySociologyProfessional learning communityMedical educationPsychologyPolitical scienceGender studiesMedicineComputer science

Abstract

fetched live from OpenAlex

Student success, particularly for students from marginalized populations, depends on a number of co-existing factors, not the least of which are a sense of belonging and the institution’s focus on inclusion. This article showcases the lessons learned from a professional learning community (PLC) for faculty, staff, and students, which was intentionally designed to create awareness of these issues and the need for courageous conversations to support change. The article discusses one particular PLC, a form of virtual “book club,” which occurred during the Fall 2021 semester (September–December). This PLC was focused on Anthony Jack’s text The Privileged Poor: How Elite Colleges Are Failing Disadvantaged Students, published in 2019, and encouraged a unique dialogue on student experience, co-facilitated by a team who critiqued aspects such as race, class, and first-generation status from different vantage points in higher 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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.001
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 head0.038
GPT teacher head0.475
Teacher spread0.437 · 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