Bibliographic record
Abstract
espanolEl presente texto, pretende analizar como se da la presentacion de la persona, desde el enfoque de Erving Goffman, en la red social virtual Facebook; ya que se considera y desarrolla en el texto que, en dicha red social, se construye una extension de la persona. Este planteamiento parte de la distincion y construccion del vinculo micro-macro como punto de anclaje, hasta detenerse en el enfoque del autor canadiense.En la segunda parte del texto, mediante categorias de la obra de Goffman, principalmente de su libro La presentacion de la persona en la vida cotidiana, vamos a relacionarlas con distintas interacciones observadas en Facebook, para mostrar que la interaccion cara a cara se puede dar desde lo on-line.Al termino del texto, cierro con algunas reflexiones provenientes del analisis, que van desde las limitaciones de un tipo de interaccion virtual hasta la importancia de abrir la investigacion sociologica a un espacio sinuoso para ella. EnglishThis paper aims to analyze how the appearance of a person is shown, from the viewpoint of Erving Goffman, in the virtual social network Facebook, since it is considered and developed in the text, that in this social network, an extension of the person is built up.This approach commences from the distinction and construction of a micro-macro link to anchor in the Canadian author's approach.In the second part of the text, based on the categories of Goffman's work, especially in his book The Presentation of Self in Everyday Life, they will be related to different interactions observed in Facebook, to show that face to face interaction can be given on-line.The text closes with some thoughts from the analysis, ranging from the constraints of a type of virtual interaction to the importance of sociological research open to a winding pathway for sociology itself.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 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".