D6.11 SSHOC Trainer Toolkit (final)
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,013 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,341 | 0,037 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».