Bibliographic record
Abstract
Abstract Internet freedom is a process. Internet freedom takes place through a myriad of practices, such as technology development, media production, and policy work, through which various actors, existing within historical, cultural, economic, and political contexts, continuously seek to determine its meaning. Some of these practices take place within traditional Internet governance structures, yet others take place outside of these. Crypto-discourse refers to a partially fixed instance of the process in which actors seek to construct the meaning of Internet freedom that mainly takes place outside of traditional Internet governance structures. Crypto-discourse describes a process in which specific communities of crypto-advocates (groups of cryptographers, hackers, online privacy advocates, and technology journalists) attempt to define Internet freedom through community practices such as technological development and descriptive portrayals of encryption within interconnected communities that seek to develop and define encryption software, as well as through the dissemination of these developments and portrayals within and outside of these communities. The discursive work of the cypherpunks, interrelated discourse communities, and related technology journalism is at the core of crypto-discourse. Through crypto-discourse, crypto-advocates employ encryption software as an arena of negotiation. The representation of encryption software serves as a battlefield in a larger discursive struggle to define the meaning of Internet freedom. Crypto-discourse illustrates how social practices have normative implications for Internet governance debates regarding Internet freedom and in particular expectations for state authorities to uphold online rights. The relationship between freedom and the state that these crypto-advocates articulate as a response to specific events excludes other possible positive notions of Internet freedom in which the state has an obligation to ensure the protection of online rights.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.050 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".