A Framework for Analyzing Online Communities
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
This paper examines online communities and describes how they can be differentiated from other Internet supported group interactions. A definition of an online community is given and three generic types are identified. These types are defined by the community models based on the value proposition for the sponsors and members. The value proposition for members is strongly influenced by the model, as facilities and opportunities for interaction are structured by the site sponsors. Where online communities offer fulfillment of specific needs, people participate and become members. Additional benefits enhance the value of membership and encourage retention and greater interactivity. Significant benefits are gained from online communities for businesses, NGOs, other community organizations and individuals. Identifying the different types of communities and their characteristics is an important stage in developing greater understanding of how virtual communities can contribute to businesses, healthcare, community needs and a myriad of other contexts. Examples of the three generic types of online communities are included for further edification.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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