La Cuestión del Género en Ciencias Sociales y en Psicología Social
Bibliographic record
Abstract
espanolEl genero es sin duda uno de los mas importantes conceptos en ciencias sociales, se refiere a un sistema complejo de relaciones humanas que toma como unidad de investigacion la interaccion entre dos grupos, hombres y mujeres. Historicamente, el concepto y mas tarde la teoria de genero facilitan y permiten la comprension de conceptos, tales como (entre otros) hegemonia masculina, dominacion masculina, patriarcado, virilidad, masculinidad. En todo caso, los movimientos feministas de los anos 1960-1970 en Canada, Estados Unidos y Francia abren la brecha (dicho propiamente, se constituyen en lo que algunos llaman la “segunda ola” del feminismo) con luchas dotadas de ideologias politicas diversas y variadas. La injusticia y la desigualdad son los tipos genericos de relaciones entre hombres y mujeres que el feminismo (radical) quiere abrogar. En gran medida, es a partir de este proyecto feminista que nace el proyecto masculinista, igualmente con sus avatares y contradicciones y en busqueda de una identidad. Sabiendo que en ciertos contextos la nocion de genero se aborda como una norma, como un estereotipo que hay que deconstruir, en particular el estereotipo de la mujer. En este ensayo desarrollo algunos argumentos que permitan ver un poco mejor las posiciones teoricas, conceptuales, politicas del ser masculino. EnglishGender is undoubtedly one of the most important concepts in social sciences, it refers to a complex system of human relations that takes as research unit interaction between two groups, men and women. Historically, the concept and later gender theory facilitate and enable the understanding of concepts, such as (among others) male dominance, male domination, patriarchy, virility, masculinity. In any case, the feminist movements of the years 1960- 1970 in Canada, USA and France opened the gap (said itself, constitute what some call the “second wave” of feminism) equipped struggles with political ideologies diverse and varied. Injustice and inequality are generic types of relationships between men and women that feminism (radical) wants to destroy. It is largely from this feminist project born the masculinist project, also with their avatars and contradictions and in search of an identity. Knowing that in certain contexts the notion of gender is approached as a rule, as a stereotype to be deconstructed, particularly the stereotyping of women. In this essay development some arguments that let you see a little better theoretical, conceptual, political positions of being male.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".