ONLINE COLLABORATION FOR SOUTH-NORTH HISTORIC SITE RECORDING TRAINING OF EMERGING PROFESSIONALS
Bibliographic record
Abstract
Abstract. This contribution offers insights into delivering a Historic Site Recording course entirely over the Internet using video conferencing and sharing tools. The opportunities and challenges will be described, and the approaches used to ensure meeting realistic learning outcomes by offering a meaningful student experience will provide digital tools and cloud services. The classroom was staged at the students' homes. Immediate surroundings of their countries in Latin America (Argentina, Bolivia, Chile, Guatemala, Peru, and Mexico), and the teachers were based in Santiago (Chile), Ibague (Colombia), Barcelona (Spain), and Ottawa (Canada) and video conferencing, collaboration tools and social media made the connections. Two introductory courses for 13 weeks were delivered, followed by an advanced course in heritage recording tools. At the end of the introductory course, students provided a heritage recording proposal for a site in their own countries.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".