Bibliographic record
Abstract
André Siegfried (1875–1959) was a leading figure in French academic and cultural life for over five decades. A world traveller who trained as a geographer, Siegfried became a leading political scientist and prominent newspaper columnist. As a long-time professor at Sciences Po, he shaped generations of his country’s elite. France in the World explores the life and career of André Siegfried. An innovator in the field of political science, he established himself as France’s leading interpreter of the English-speaking world. Often likened to Alexis de Tocqueville, Siegfried published influential studies of the United States, Canada, Great Britain, and New Zealand, striving to understand France’s place in a changing global context. Siegfried was a cosmopolitan promoter of liberalism and individual freedom. But at the same time he perceived France to be the core of a Western civilization whose leadership and values were threatened by Americanization, anti-imperial nationalism, and non-white immigration. By following Siegfried’s long career and examining the breadth of his writings, Sean Kennedy shows how his racial and ethnic essentialism was a unifying aspect of his life’s work. That these ideas were considered unremarkable for most of his lifetime offers a powerful illustration of how racist thinking permeated mainstream French republicanism. Exploring the many facets of Siegfried’s career, France in the World examines the entanglement of liberal and racist thinking during an era that witnessed political extremism and a rapidly changing international order.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".