Bibliographic record
Abstract
Introduction 1 PART I: DURKHEIM'S NEPHEW 7 CHAPTER 1: Epinal, Bordeaux, Paris 9 CHAPTER 2: Student at the Ecole Pratique des Hautes Etudes 37 CHAPTER 3: Rites of Institution: Early Publications and Travel Abroad 56 PART II: THE TOTEM AND TABOO CLAN 81 CHAPTER 4: In the Cenacle 85 CHAPTER 5: Citizen Mauss 96 CHAPTER 6: Rue Saint-Jacques 113 CHAPTER 7: Journalist at Humanite 123 CHAPTER 8: Collective Madness 133 CHAPTER 9: A Heated Battle at the College de France: The Loisy Affair 149 CHAPTER 10: Not a Very Funny War 168 PART III: THE HEIR 185 CHAPTER 11: (The Socialist)Life Goes On 189 CHAPTER 12: A Burdensome Inheritance 215 CHAPTER 13: The Institut d'Ethnologie 233 CHAPTER 14: Sociology, a Lost Cause? 246 PART IV: RECOGNITION 259 CHAPTER 15: A Place at the College de France 263 CHAPTER 16: Where Professors Devour One Another 276 CHAPTER 17: Enough to Make You Despair of Politics 303 CHAPTER 18: The Time of Myths 315 EPILOGUE: The War and Postwar Years 333 Notes 351 Index 427
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.032 |
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 source (direct Gemma or distilled Codex), 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".