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Record W7096394101

Constructing a Social Publishing Application to Support a Local Music Community

2010· article· en· W7096394101 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicRecommender Systems and Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingOrder (exchange)Web siteContent analysisDuration (music)Usage dataLocal communityThe InternetUser-generated content
DOInot available

Abstract

fetched live from OpenAlex

KelownaGigs is a website initially built in 2003 to support Kelowna's local music community, including artists, bands, venues, promoters, and fans. With the previous system all site content had to be validated and inputed manually by a limited number of users with administrative access. This project focused on migrating the site to a social publishing application with the goals of automating as many tasks and processes as possible, and providing each user increased access to manage the content relevant to themselves. The existing content aggregation tools were deemed insufficient for the site's specific needs, and so information extraction techniques were researched in order to implement a custom solution for importing data from remote web sites. Throughout the project access logs and user statistics were kept to monitor changes in user behaviour as site changes were implemented. Additional feedback was solicited from users via surveys available throughout the development period, including questions tailored to their role within the community. Overall the site received positive feedback from users and traffic metrics increased throughout the duration of the project. Administrative effort was also reduced despite the increase in site

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.282
Teacher spread0.243 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations0
Published2010
Admission routes1
Has abstractyes

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