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Record W1557910834

E-Publishing in the Undergraduate Music History Classroom: The University of Guelph Book Review Project

2013· article· en· W1557910834 on OpenAlexaffabout
Kimberly Francis, Travis D. Stimeling

Bibliographic record

VenueJournal of music history pedagogy · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPublishingNature versus nurtureSociologyPedagogyPublic relationsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

0 0 1 271 1546 Depauw University 12 3 1814 14.0 Normal 0 false false false EN-US JA X-NONE Perhaps one of the least anticipated and yet most fundamental skills undergraduate educators must nurture in their students is that of effective writing. Over the past three years,  Critical Voices: The University of Guelph Book Review Project , a project that combines open-access journal technology with the dynamics of peer-review publication, has successfully worked to address this task in upper-level, undergraduate classrooms at three universities in Canada and the United States. Using the  Critical Voices  project as an example, this essay explores the pedagogical value of requiring undergraduate students in music history courses to write for a public audience, a more common occurrence in the social and natural sciences than in the humanities. Furthermore, by describing the process by which the project was established and the guidelines that participating institutions follow throughout the semester-long publication cycle, we outline the potential challenges instructors might face when attempting to integrate such projects into their own courses. Finally, through a discussion of the ways in which external institutions have engaged with the  Critical Voices  project, we suggest that collaborative, student-driven projects such as this offer valuable, low-cost opportunities for music students for international collaboration, an increasing need in an era of decreasing resources. We would like to consider the innovative potential this project holds for the musicological discipline as a whole. Indeed, in drawing our observations and methodologies into dialogue, we argue our work presents a cost-effective means of introducing currently uncommon para- and proto-professional training into the humanities classroom, the results of which would also have an impact on musicological research in general.

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)0.015
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.005
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.004

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 head0.089
GPT teacher head0.250
Teacher spread0.160 · 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.

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

Citations2
Published2013
Admission routes2
Has abstractyes

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