Bibliographic record
Abstract
The developments which were experienced in the communication and technology area made internet an important part of the daily life. In this respect, the virtual communities are in prominent place which are insulated from the time and place. In the study, Hakkarim.net is researched that formed our subject as one of the most different examples of these virtual communities. A qualitative research which is based on the observation fundamentally and richened with a survey and in-depth interviews is carried out in accordance with the ethnographic research which is used in this study. The behavior-oriented observations are performed and the oral reports are arranged with the requirements that the research is performed in the natural environment. In the research, the participants define being member of Hakkarim.net which they turned into a social sharing network and virtual community as commitment, unrequited love, happiness, belonging and entertainment respectively. The findings show that the persons in Hakkarim.net were expressing the everything they could not find in the real life, women, chats, words and dreams in this geography in which the people struggle with the problems such as terror, unemployment, violence and the feeling of being marginalized for years in Turkey.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".