First Things First: Exploring Maslow’s Hierarchy as a Service Prioritization Framework
Bibliographic record
Abstract
This paper proposes a model for categorizing library services and resources by their importance to users based on the service’s fundamentality to the other resources and services in the library’s offerings, the degree to which the service affects users, and the scope of users that access the service. Adapted from Abraham Maslow’s theory of motivation, we substitute individual human motivations for a community’s motivations for using the library. Maslow’s five tiers—physiological needs, safety needs, love and belongingness needs, esteem needs, and self-actualization—are changed to library-specific tiers: Library as Minimum Viable Product, Library as Convenience, Library as Connector, Library as Incubator, and Community as Library. The Hierarchy of Library User Needs is a theoretical tool for service prioritization with the potential to facilitate discussions between users and libraries. Libraries may wish to (re)evaluate the alignment between the resources they devote to their services and the items that are most likely to be used and appreciated by their users.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".