Beyond the “Babel Problem”: Defining Simulations for the Social Studies
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
Simulation research has become a growing area of interest in the social studies in recent years. Problematically, the term simulation is used without consistency among practitioners and researchers. The conceptual confusion regarding what simulations are (or are not) muddies the field and makes it difficult for scholars to make sense of this phenomenon or to talk about simulations across findings. In order to bring clarity to the field, this paper is framed around two conceptual and analytic constructs: conceptual analysis and the theory of language games. In this paper, I will provide a rationale for why the social studies field requires a specific definition for simulations. Next, simulations will be defined using four specific criteria: verisimilitude, dynamism, active human agents, and pedagogical mediation. Finally, simulations will be differentiated from three related phenomena with which they are often conflated: games, role-plays, and models.
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 | 0.096 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.040 | 0.013 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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