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Record W7009937229

Go, now, go: friendship, futures unknown, identity and performance in teen television

2021· dissertation· en· W7009937229 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsStaringGloomPoint (geometry)Frame (networking)Subject (documents)Feature (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an examination of identity and the role of friendship in the formation of self and selves, within two under-examined areas of television studies: performance studies and critical analyses of Teen Television. As a journey through two serial television programs, My So-Called Life (1994-1995) and Pen15 (2019-present) with a brief exploration of Freaks and Geeks (1999-2000), this thesis aims to position Teen TV as an ideal space for exploring the ways friendships alter the beings within them and might be exemplary at amplifying specific elements (the transient, the crucially temporal, the unsettled) of serial television more generally. Teen programs often reflect the “in progress” nature of the serialized medium itself, through narrative and characterization. By centralizing friendships as the crux of the thematic and dramatic stakes, and because teen characters are often presented on a journey of self-discovery (and because these two elements are necessarily intertwined), teen television may be particularly well-suited to the serialized televisual medium. Through a close reading of specific scenes and sequences, with particular attention paid to the performances of young actors on screen, one can uncover the connection that those performances have to other aesthetic elements of the production and narrative. Connectedly, examining the ways that performances accumulate and augment over time, one can, ever gradually, track a character that does not become solidified into a singular self, but rather – through these accumulations and augmentations (sometimes replications and inhabitations of others) – the ways that television characters (like real life people) are swayed and shifted, constantly, by those close to them. Simultaneously, these characters (through narrative and performance) are often shown learning and incorporating elements of others into themselves, developing a relationship language – through gesture, tone, costume, through improvisation and other forms of play, and through affective blending. These shifts may similarly be reflected by the viewer (multiplying the affective entanglements beyond the screen) whose relationship with characters and outward (often creative) expressions based on the characters, aesthetics, and narrative, may take on an element of friendship 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.014
GPT teacher head0.221
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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