Augmented Reality Application to Highlight Health Policies about Refugee Students in the Interwar Period. An Example of Empathetic Study of an Archival Collection
Bibliographic record
Abstract
The present research attempts, using virtual/augmented reality (AR) technologies, to highlight, through selected digitized documents from the archival collection of the Cretan Didaskaleion (1901-1935), the eugenic policies implemented by the Greek state in the field of public health in relation to the refugee students of the Didaskaleion during the interwar period (1918-1939). The theoretical basis of our approach is that a digitized archive can better support the emergence of the emotion of an archival material (the emotional weight of historical events requires an empathetic investigation), (b) immersion through the use of virtual/augmented reality technologies constitutes an engaging process through which an emotional turn to history is achieved. The aim of this research is to provide researchers with access to a virtual archival environment, where they will be able to interact with digital representations of the documents and exhibits of the Cretan Didaskaleion and engage in multi-sensory interaction experience with them through virtual reality (AR) technologies. For this purpose, an immersive scenario was designed and developed, consisting of selected documents from the archival collection and a complementary documentary material, which refers to events and persons of the specific era. The results of the research refer to the possibility of applying an upgraded e-researching approach through which the researchers: 1) discover the emotional/affective connotations of the archival material, 2) expand the research perspective by reflecting on the formulation of new research questions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".