European School for Interdisciplinary Tinnitus (ESIT): A global research training initiative
Bibliographic record
Abstract
The European School for Interdisciplinary Tinnitus Research (ESIT) is an EU-funded doctoral training network. ESIT is a consortium of 12 universities, over 30 commercial and not‐for‐profit organizations, and 15 PhD students providing cutting-edge education across 10 European countries to develop highly knowledgeable and innovative experts in the field of tinnitus research. The ESIT consortium is composed of multidisciplinary researchers and academics engaged in supervising culturally diverse students from nine countries. Over the span of 4 years, ESIT students demonstrated transformational growth in academic and personal spheres and overcame multiple challenges. This case study documents the meaningful partnerships developed between students and the ESIT support network and some of the challenges faced by ESIT in training 15 international students during a global pandemic. It documents the co-creation of knowledge achieved by those engaged in a global shared learning journey and the conflicts and cultural dimensions that they navigated.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.003 |
| 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 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".