D6.11 SSHOC Trainer Toolkit (final)
Bibliographic record
Abstract
This deliverable describes the final version of the SSH Training Discovery Toolkit (TDT) which was launched on April 20th 2020. At the time of the launch in April 2020, the TDT highlighted 70 items from 41 different training sources. The TDT consists of an inventory of various learning and training materials that trainers in the Social Sciences and Humanities (SSH) can use to develop and improve their training activities. The Toolkit at the time of writing lists 243 example materials from over 95 different sources in various formats, such as slides, modules, videos, games and other items. Materials cover a range of topics including Research Data Management, FAIR data, text encoding, Open Science, and quantitative analysis, as well as didactics for better development and implementation of training activities. It should be noted that the items included in the TDT are examples from all the materials available at a given source. The TDT was meant to ease the discovery of training materials available at the various sources by means of highlighting items rather than providing an exhaustive list of all materials available. This deliverable describes the updates and improvements that have been performed in the second half of the SSHOC project. After the launch in April 2020, the TDT was further developed in collaboration with the SSH Training Community. It was presented and evaluated during the SSHOC Train-the-Trainer Bootcamps. Curation sprints were performed to update metadata of existing resources and add new resources that have been suggested by the community. In addition to the content extension, the metadata of the TDT has been evaluated and metadata fields, as well as controlled vocabularies, used were adjusted. This was done to align with the recommendations of the international community on minimal metadata and best practices for describing training materials. <strong>Note on the terminology </strong> Please note that, while the original title of the toolkit mentioned in the grant proposal and agreement was “SSHOC Train-the-Trainer Toolkit” rather than “SSH Training Discovery Toolkit” (TDT), the latter was adapted in the course of the project, as it more accurately describes the content and use of the toolkit. The TDT is directed at SSH trainers, but next to train-the-trainer materials, it also contains information on other learning and training materials available that can be used in multiple disciplines for the SSH community. Moreover, the main purpose of the TDT is the discovery of these materials. Therefore, the name that is used in this deliverable as well as in the related milestone is Training Discovery Toolkit. This is also what has been used on the SSHOC website and in the communications of the outcome.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.341 | 0.037 |
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; both teacher heads agree on what is shown here.
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".