Bibliographic record
Abstract
Rule N°5: The Library Is a Growing Organism is a collaboratively created installation located in NYU’s main library that centers the voices of library workers in six sculptures. The work takes its name from Ranganathan’s five laws or “rules” of library science published in 1931 and focuses on how the spirit of the fifth rule or law, which reads “the library is a growing organism,” continues to inform the life and work of the library. As an interactive audio experience, Rule N°5 invites listeners to open doors and drawers, plug in, and push buttons to explore what it means to collect the world’s knowledge, preserve the past, and shape the future. Rule N°5 examines practices and objects that shape how we can search, who we will find, and what we remember. In this article, the makers behind the installation share stories of the project’s creation and a deeper inspection of the invisible labor and conversations about questions of power, authority, and the politics of seemingly innocuous library work that inform the work.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.034 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".