Sensemaking, Knowing and Storytelling: Making Sense of the Public Internet Access Policy Debate at the Ottawa Public Library
Bibliographic record
Abstract
Using Weick's sensemaking theory within a KM framework, and storytelling methodology, this study deconstructs a recent public Internet access policy crisis at the Ottawa Public Library (Canada). As the Library's Manager of Virtual Library Services, the author retrospectively enacts the story of how the Library Board and management resolved a public controversy led by the staff and the community newspaper. At issue were the Library staff's right to be protected from viewing Internet pornography, the community's reaction to the issue of protecting children's Internet access, and the Library's commitment to intellectual freedom online. Plausible meanings are presented, the public library's identity and beliefs are reinterpreted, organizational vocabularies are challenged and tacit and cultural knowledge are created and shared.Narration d'entrevue, cette étude décompose une récente politique de crise sur l'accès public à Internet à la bibliothèque publique d'Ottawa (Canada). En tant que gestionnaire du service de bibliothèque numérique, l'auteur relate rétrospectivement comment le Comité de la bibliothèque et les gestionnaires ont solutionné une controverse publique menée par le personnel et la communauté journalistique. Cette controverse concernait le droit du personnel à être protégé contre la visualisation de pornographie sur Internet, la réaction de la communauté au sujet de la protection de l'accès des enfants à Internet, et l’engagement de la bibliothèque envers la liberté intellectuelle virtuelle. Des hypothèses plausibles sont présentées, l'identité et les croyances de la bibliothèque publique sont réinterprétées, les vocabulaires organisationnels sont remis en question et des connaissances tacites et culturelles sont créées et partagées.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.031 | 0.066 |
| Scholarly communication | 0.026 | 0.013 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".