The Self and Others: Revisiting Information Needs and Libraries as Public, Social Institutions in a Post-truth World
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
Abstract The post-truth era and the increasing ease with which fake news is disseminated and consumed is a wicked problem that invites re-examination of the media environment, algorithmic authority, library and information science (LIS) professional practice, and what people bring to information interactions in terms of cognitive biases and worldviews. Fake news has social consequences such as undermining civic discourse and democracy, and inciting hatred. Consequently, the role of libraries as public, social institutions embedded in democratic societies and the relational aspects of information needs are important to consider. An alternative framework, the decent society, a society in which its attendant social institutions do not humiliate, is explored. An example from the Toronto Public Library (TPL) is used to illustrate the ways in which a social institution can uphold the principle of non-humiliation in an increasingly politicized world.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.072 |
| Open science | 0.001 | 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