Bibliographic record
Abstract
This article emphasizes the influx of Christianity into cyberspace, the history of the first virtual forums, groups, networks, and websites relevant to this religion. It discusses the results of the studies on the widespread of faith, particularly Christianity, on the Internet. Examples, obtained as a result of American, Canadian, and British scientists’ observation of these processes, are provided. As it is known, scientists divide the studies on the correlation between religion and the Internet into three periods. Based on this fact, we paid attention to the studies of the leading representatives of each period and their results. In the second half of the twentieth century, the process, which began with a simple message on a bulletin board system (BBS), began to develop rapidly. Special forums on the expression of religious views (e.g. “Origins”, 1983) and virtual groups dedicated to Christianity (“net.religion.Christian”, 1984) come to light. The author analyzes and justifies these groups were paid much attention and participated actively by the general population and the church. The article identifies the most discussed topics in the virtual communities, which were established in the first network for religious dialogue Ecunet in their public and private (paid) conversations. It provides information about an online religious ceremony on the memory of the missing astronauts of the Challenger spacecraft. It shows how the emergence of the free World Wide web and the possibility of working with hypertext and creating websites influenced the dynamics of Christianity in cyberspace. It also provides information on the leading websites of cyber-communication technologies and which sects and churches they belong to.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".