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Blogging as Popular Scholarship

2022· book-chapter· en· W4289713301 on OpenAlexaff
Leigh VanHandel

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarshipOutreachPromotion (chess)Public relationsDigital scholarshipScholarly communicationSociologyPolitical scienceMedia studiesWorld Wide WebComputer sciencePublishingLaw

Abstract

fetched live from OpenAlex

Abstract Blogging has become an increasingly common and popular way of disseminating information. However, academia has been slow to embrace blogging as a publication option, likely because blogging does not rely on the traditional process of peer review that other forms of academic scholarship require. This chapter discusses the rise of blogging as popular scholarship, highlighting blogs that have been successful at gaining a wide audience. It interrogates what constitutes scholarship, considering arguments both for and against considering blogs as scholarly writing. The chapter also discusses the potential advantages and disadvantages of blogging, suggests processes for evaluating blogs as scholarship in the hiring and reappointment, promotion, and tenure (RPT) process, and proposes how academia in general and the Society for Music Theory (SMT) in particular can provide support for blogging as an effective means of outreach and of making music theory research accessible to other scholars and the general public.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.006
Scholarly communication0.0130.011
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0210.004

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 head0.039
GPT teacher head0.276
Teacher spread0.237 · 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 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
Published2022
Admission routes1
Has abstractyes

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