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Record W4229079198 · doi:10.33137/ijidi.v6i1.37118

Dusty & Digital Media Literacy Workshops

2022· article· en· W4229079198 on OpenAlexfundno aff
Jonathan Kabongo, Craig Arthur

Bibliographic record

VenueThe International Journal of Information Diversity & Inclusion (IJIDI) · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsVariety (cybernetics)LiteracySociologyPlan (archaeology)Media literacySchool libraryPedagogyPublic relationsLibrary scienceMathematics educationEngineeringPsychologyPolitical scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

Digging in the Crates: Hip Hop Studies at Virginia Tech, or VTDITC, is a pedagogical model that exists to foster a sense of community among artists, fans, and scholars. Based in our campus’ main library, we hope to model that students’ and community members’ personal interests are worthy of academic study and further establish Hip Hop Studies’ presence at Virginia Tech, the academy, and in the larger community. To that end, the VTDITC community has designed, taught, and assessed more than 150 community-based media literacy workshops over the past half decade. We have demonstrated, explained, and created opportunities for a wide variety of learners to experience the science, technology, engineering, art, and mathematics inherent to the hip hop culture. We have learned alongside a diversity of audiences—from elementary school children to adults. To name just a few of our partner organizations, we have worked with the 4H Virginia Congress, the Boys & Girls Clubs of Southwest Virginia, Higher Achievement, Inc., a variety of public libraries including our regular collaborator Roanoke Public Libraries, the Science Museum of Western Virginia, Virginia’s Summer Residential Governor's School for Humanities, and the West End Center for Youth. In our contribution to The Global Drumbeat: Permeations of Hip Hop across Diverse Information Worlds, we will outline and explain an example lesson plan from one of our workshops. We will provide our learning outcomes as well as our assessment plan. Additionally, we will detail the theoretical underpinnings and guiding principles that inform our pedagogical decision making. Our workshops take a hands-on, practitioner-minded, and co-creation approach to teaching media literacy. Inasmuch, this contribution will also provide a recommended list of music creation equipment and other appropriate classroom technology that will accommodate a variety of budgets. Furthermore, we will include several promising practices and recommendations gained from more than 50 years of collective experience creating hip hop music and 10 years of collective experience teaching the hip hop arts. Our hope is that this contribution will inspire other library workers and educators to remix our workshops to suit the needs of their communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.010

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 head0.340
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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