Bibliographic record
Abstract
The field of Computer Supported Cooperative Work has constantly evolved to meet the changing needs of individuals at home, at work, and online. To understand how these changes impacted CSCW research, we systematically reviewed 1209 papers and notes published at the ACM Conference on Computer Supported Cooperative Work between 1990 and 2015. When considered with results from two previous literature reviews, covering 1990 - 1998 and 1998 - 2004 respectively, our analysis provides perspective on 25 years of groupware research. We show that the field has responded to, not anticipated, changes in the computing landscape, long-term trends away from 'systems' and explanatory research, and a lack of bibliographic research that synthesizes findings. Finally, we discuss implications of these trends for CSCW research: how results are synthesized across the field, what kinds of research we value, and how multi-device ecologies are studied.
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 | 0.076 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.029 | 0.023 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".