Part II - Technical Contexts: Building Digital Tools for Humanities Research
Bibliographic record
Abstract
The two articles bundled in Part II of this special issue detail the technological environment in which the social physics authoring workshop took place, from the perspective of the researchers who built certain key elements. Daniel DeKerlegand’s contribution describes the custom authoring tool he designed, which served as the group’s main interface during our week of remote meetings, sharing solutions to challenges around facilitating the transformation of literary data into formats readable by the Ensemble social physics engine. Paul François then completes the reflection on the project’s technical framework by putting the workshop’s social physics coding goals in conversation with his previous work designing the immersive VR restitution of an eighteenth-century Fair theatre that serves as the experiential frame for the VESPACE experience. [This article is part of the collection Computer Modelling and Simulation for Literary-Historical Research: VESPACE and Social Physics.]Les deux articles regroupés dans la partie II de ce numéro spécial détaillent l’environnement technologique dans lequel se déroula l’atelier de création en physique sociale, du point de vue des chercheurs qui ont construit certains éléments clés. La contribution de Daniel DeKerlegand décrit l’outil de codage qu’il a conçu exprès pour cet atelier, qui servit d’interface principale du groupe pendant notre semaine de réunions à distance, et relate des solutions aux verrous techniques liés à la facilitation de la transformation des données littéraires en formats lisibles par le moteur de physique sociale Ensemble. Paul François complète ensuite la réflexion sur le cadre technique du projet en mettant en conversation les objectifs de codage en physique sociale de l’atelier avec son travail précédent de conception de la restitution immersive en réalité virtuelle d’un Théâtre de foire du XVIIIe siècle qui sert de cadre expérientiel pour l’expérience VESPACE. [Cet article fait partie de la collection Modélisation et simulation informatiques pour la recherche littéraire-historique : VESPACE et physique sociale.]
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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.031 | 0.024 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 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".