"Das Spice muss fließen!" - Über den Zusammenhang von Wohlstand, Weisheit, Wirtschaft und Glück (German podcast)
Bibliographic record
Abstract
Send us a textGerman Description (English below)Gast: NiklasKirchnerWir hoffen doch, dass Regierende, seien es nun Konige, Präsidentinnen oder Parlamente, die unser Leben und Zusammenleben massgeblich beeinflussen, dies zum Wohle der Bürgerinnen und Bürger tun, welche sie regieren. Nach heutigen Standards müssten Sie vor allem okonomische Zusammenhänge durchschauen konnen. Dort, so scheint es, muss vor allem reguliert bzw. Raum geschaffen werden, damit sich eine Gesellschaft über florierende Wirtschaft Stück für Stück verbessert. Denn prosperierende Wirtschaft bedeutet doch Wohlstand und Wohlstand Glück, oder nicht?Im Podcast diskutieren Frederike Michael Hampe und NiklasKirchner darüber. Michael Hampe ist Initiator des Metis-Projekts und Prof. für Philosophie an der ETH Zürich und Niklas Doktorand der praktischen Philosophie, ebenfalls an der ETH. Das deutsche und das englische Transkript finden Sie auf unserer Homepage: www.metis.ethz.ch. Dort stellen wir auch weiteres Material zum Thema zur Verfügung. Folgt dem philosophischen Tagebuch unserer Metis auf Instagram!Schreiben Sie uns eine Mail mit Fragen und Kommentaren an: metis@phil.gess.ethz.chDieser Podcast wurde produziert von Martin Münnich mit Unterstützung der ETH Zürich und der Udo-Keller-Stiftung, Forum Humanum in Hamburg.English DescriptionGuest: Niklas KirchnerWe hope that rulers, be they kings, presidents or parliaments, who have a significant influence on our lives and coexistence, do so for the benefit of the citizens they govern. By today's standards, they should above all be able to see through economic interrelationships. There, it seems, the main thing is to regulate or create space so that a society can improve bit by bit through a flourishing economy. After all, a prosperous economy means prosperity and prosperity means happiness, doesn't it?Frederike Michael Hampe and NiklasKirchner discuss this in the podcast. Michael Hampe is the initiator of the Metis project and Professor of Philosophy at ETH Zurich and Niklas is a doctoral student of practical philosophy, also at ETH. You can find the German and the English transcript on our homepage: www.metis.ethz.ch. There we also provide further material on the topic. Follow the philosophical diary of our Metis on Instagram!Send us an email with questions and comments to: metis@phil.gess.ethz.ch. This podcast was produced by Martin Münnich with the support of ETH Zurich and the Udo Keller Foundation, Forum Humanum in Hamburg.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.008 | 0.008 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.007 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.002 | 0.010 |
| Insufficient payload (model declined to judge) | 0.094 | 0.588 |
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".