Bibliographic record
Abstract
I am a member of the inaugural class of the International Business of the Americas cohort program of the Sonoco International Business Department at the Darla Moore School of Business. As a participant in this program, I spent two semesters living in Santiago, Chile studying at the Facultad de Economía y Negocios at the Universidad de Chile. During my time in Santiago, I learned about the cultural differences between Chile and the United States both inside and out of the classroom. However, despite the measurable, and often profound, differences between the two countries, what struck me the most were the emotions, struggles and triumphs we all share as a human race – euphoria, tragedy, success, failure, etc. It was this observation of the many individuals I interacted with and met every day that inspired my thesis project. Humanos de Santiago is a cultural thesis project capturing the day-to-day lives of the people of Santiago, Chile through photographs and brief quotations and stories – the perfect culmination of my areas of study – International Business, Marketing, Spanish and Art History. I recorded these pictures and interviews in an Instagram account modeled after the internationally acclaimed blog Humans of New York 1 (HONY) created and managed by Brandon Stanton. The description on the Instagram account reads: “Una cuenta dedicada a las historias de la gente de Santiago, Chile inspirado por @humansofny.” (An account dedicated to the stories of the people of Santiago, Chile inspired by @humansofny.) This paper will detail the methodology used and findings recorded throughout the execution of this thesis project for the South Carolina Honors College. Additionally, I will delve into a history of Chile and various aspects of life in Santiago while also highlighting the history and evolution of Humans of New York in order to provide some context for the subjects, their comments and the project as a whole. Finally, I will include some personal observations regarding the project and its completion.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".