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Record W2608774921

"This Is Mud on Our Faces! We're Not Really Black!" Teaching Gender, Race, and Age through Humour in the Golden Girls

2016· article· en· W2608774921 on OpenAlexaboutno aff
Victoria Kannen

Bibliographic record

VenueOutskirts · 2016
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsClichéWhite (mutation)AmbivalenceContext (archaeology)PsychologySubject (documents)Gender studiesSociologyAestheticsSocial psychologyArtLiteratureHistory
DOInot available

Abstract

fetched live from OpenAlex

All teachers could use more studies about sharing of humor as a force in classroom that enhances learning and helps to create and sustain bonds of community. Working together in classroom, teachers and students find equanimity when we laugh together. (bell hooks 2010,75)Introduction: Is this funny?Full disclosure: I love The Golden Girls. I also recognize that it is a cliche that I love The Golden Girls. As a white, straight, femme, feminist, I have watched this sitcom since I was a child. These are four women who I have aspired to be like - sexual, smart, underestimated, and hilariously sarcastic. I also recognize that this is a show that most of my undergraduate students are unfamiliar with. The context of show-the socio-political climate of United States in 1980s-is unfamiliar and subject matter(s) that characters introduce are almost nonexistent on contemporary sitcoms. I choose to screen this show with knowledge that it will be amusing for some, ambivalent for others, and completely new to most of them. As a feminist instructor, I see my role as providing students with material that inspires dialogue, critique, and enjoyment.I think it's funny, but it makes me uncomfortable. This is a common response that I have received from undergraduate students in Ontario, Canada when showing them an episode of sitcom The Golden Girls entitled Mixed Blessings (Harris 1985). I have shown this episode in courses such as Sociology of Gender, and Media and Popular Culture. While I will discuss synopsis of show in more detail below, for now I will note that this episode includes and stereotypes of gender, race, age, and sexuality, among others. In my work, I often teach about social stigma, oppression and violence using a feminist intersectional lens. These topics are undeniably contentious, as discussions of social privilege and oppression are psychically challenging and can produce student resistance. As feminist sociologist Kathy Davis argues, these intersectional discussions take up the political project of making social and material consequences of categories gender/race/class visible... by...deconstructing categories, unmaking universalism, and exploring dynamic and contradictory workings of power (2008, 74). As these intersectional discussions can be weighty and emotional subjects, finding moments of levity, where appropriate and pedagogical, is crucial to our ability to enjoy process of teaching and learning.The vast majority of current undergraduate students were born after The Golden Girls originally went offthe air in early 1990s. While The Golden Girls is recognizable to some of students-due to its reruns, cultural resurgence as feminist-icons, memorabilia (via action figures, Lego sets, T-shirts, Internet memes, etc.) and Betty White's continued television and film presence-the majority of students that I have taught are unfamiliar with it. The Golden Girls episode Mixed Blessings incorporates subjects of gender, sexuality, whiteness, mixed race, interracial relationships, blackface, age, class, and familial relations. As bell hooks claims [h]umor can provide a needed break from serious, intense material and discussion (2010, 72). While much has been written on subject of teaching critical thinking in academy (Curry-Stevens 2005; DiAngelo and Sensoy 2009; hooks 1994, 2010; Schick 2000), this paper stems from my interest in exploring relationship between teaching critical feminist ideas to undergraduate students and humour. The lack of familiarity that students have with material provides four pedagogical outcomes that are achievable through in-class screening and discussion. These pedagogical outcomes are: combining an unfamiliar representation with familiar tropes; forcing unspoken to become explicit; enabling oppression and privilege to become tangible and discussable; and, encouraging learning to become joyful. …

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.079
GPT teacher head0.375
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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