Bibliographic record
Abstract
Internet filters can be understood as any method that “[blocks] content [from] coming into and going out to the Internet” (PC Magazine, n.d., para. 1). Instantaneously, the word ‘blocks’ causes advocates of intellectual freedom to stand at attention. The American Library Association’s (ALA) Library Bill of Rights states: “a person’s right to use a library should not be denied or abridged because of origin, age, background, or views” (as cited in Houghton-Jan, 2010, p. 40). More specific to the topic at hand: “the use of Internet filters to block constitutionally protected speech … compromises First Amendment freedoms and the core values of librarianship” (ALA, n.d., para. 1). This paper will investigate and discuss the function of and methodology behind internet filters, with specific attention to their application in Canada. Following a general overview, a discussion follows of what library professionals in public and school libraries should do to uphold and protect intellectual freedom.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.011 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".