Bibliographic record
Abstract
Situating AmeriQuests at Vanderbilt University and in Nashville, Tennessee, Scott explores the meaning of ‘home,’ particularly for academics whose lives are often shaped by ideas rather than by places. She takes us on her own quest for home by telling the story of Jacques Timothé Boucher, Sieur de Mont Brun, an eighteenth-century Canadian fur trapper who made his home near where Vanderbilt University and AmeriQuests now live. Al situar AmeriQuests en su hogar en Vanderbilt University y en Nashville, Tennessee, Scott explora el sentido de ‘hogar,’ en particular para académicos cuyas vidas son a menudo formadas más por ideas que por lugares. Ella nos guía sobre su propia búsqueda de un hogar, contando la historia de Jacques Timothé Boucher, Sieur de Mont Brun, un trampero canadiense del siglo XVIII, quien hizo su hogar cerca del lugar actual de Vanderbilt University y de AmeriQuests. Ao estabelecer AmeriQuests em sua casa na Vanderbilt University e em Nashville, Tennessee, Scott explora o significado de ‘casa,’ particularmente para académicos, quem geralmente têm vidas estabelecidas mais por ideias do que lugares. Ela nos leva em sua própria busca para casa ao contar a história de Jacques Timothé Boucher, Sieur de Mont Brun, um canadense caçador de peles do século XVIII, quem fez sua casa perto a onde a Vanderbilt University e AmeriQuests moram na atualidade. En rappelant que AmeriQuests a son «chez-soi» à Vanderbilt University et á Nashville, Tennessee, Scott examine le sens du « chez-soi », particulièrement chez les intellectuels, dont la vie est plus souvent déterminée par les idées que par les lieux. Elle nous entraîne à travers sa propre quête du chez-soi en relatant l’histoire de Jacques Timothé Boucher, Sieur de Mont Brun, trappeur canadien du XVIIIe siècle, qui s’est établi près de l’endroit où sont aujourd’hui Vanderbilt University et AmeriQuests.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.063 | 0.010 |
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".