Bibliographic record
Abstract
The articles published in this edition are based on papers previously presented at the third International Pandisciplinary Conference on Solitude in Community ‘Alone Together’, which took place online between 31st March and 2nd April 2022 in Szczecin, Poland. The event was organized by the International Society for Research on Solitude with support from the University of Szczecin (Poland) and the Bishop Grosseteste University (UK), with the attendants from 13 countries (UK, Poland, Australia, Romania, Norway, Netherlands, USA, India, Italy, Sweden, Israel, Canada, Malta).The conference series motto says, ‘we must, it would seem, be alone together’ (Macmurray 2004, p 169). Following the conference, this special Issue is born out of the collaboration between the International Society for Research on Solitude and the Journal of Silence Studies in Education. It is a huge joy and honour to cooperate and co-create the network of researchers dedicated to the idea of solitude and silence in various contexts.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".