The German Socio-Economic Panel: How It All Began
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Socio-Economic Panel - usually referred to today as SOEP - has become an integral part of the global scientifically-based research infrastructure in the social, economic, and behavior sciences. The data set is used widely today, both in Germany and internationally, and has long since transcended narrow disciplinary boundaries. Now, with 25 waves (in 2008), the SOEP household panel encompasses a vast amount of data covering a quarter of a century. Against the background of SOEP’s now universally recognized success, it may be of interest to look back on the last 30 years and examine the origins of this longitudinal study. My focus in the following will therefore be on the period up to the project’s approval, and thus, on the process of SOEP’s birth. This history of the Socio-Economic Panel starts with very personal experiences, judgments, and misjudgments. Reporting on these is crucial, however, to provide a better understanding of the motives that ultimately led to SOEP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.008 |
| 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 it