Indie media and digital community collaborations in public libraries
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.
Bibliographic record
Abstract
Purpose – This paper aims to examine the current state of collecting with emphasis on small, independent and local digital media for the purpose of exploring librarians’ tools to develop unique collections with these types of cultural products included. Design/methodology/approach – This conceptual paper is based on examination of the current state of publishing and digital media, of case profiles of independent digital content providers, of case profiles of public libraries using digital media to expand collections and of collection developers’ tools, including reviewing sources. Findings – With regard to expanding collections from small, independent and local digital content providers, user-generated content (UGC) is offered as a tool for collection developers to use alongside other traditional reviewing sources. UGC allows for embedding collective voices into collection development practices to capture digital cultural products from these providers. Originality/value – This paper reflects on the current state of digital content creation and publishing, including the limitations and possibilities in place for the future of public library collections from both large publishing companies and smaller media creators. Non-traditional digital media are cultural products produced for consumption and reception; therefore, we consider how these materials fit into contemporary collections, how they are connected to public libraries and subsequently are made available to library users.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it