MétaCan
Menu
Back to cohort
Record W2955432107 · doi:10.22215/etd/2019-13565

Performing Veteranhood Through the Creative Arts: An Ethnographic Study of Recognition and Sociality Among Veterans Living in a Canadian Seniors’ Village

2019· dissertation· en· W2955432107 on OpenAlexaffabout
Megan Graham

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsSocialityThe artsEmbodied cognitionPhenomenology (philosophy)ExistentialismSingingEthnographyIdentity (music)PsychologyPerforming artsSociologyAestheticsGender studiesVisual artsPolitical scienceEpistemologyAnthropologyArt

Abstract

fetched live from OpenAlex

This research explores the performance of veteranhood through the creative arts. It investigates how music-making affects sociality and recognition of Canadian World War II and Korean War veterans living in long-term care. I draw upon phenomenology as the guiding theoretical framework to explore the embodied dimensions of sociality, recognition, and performance of veteran identity through the creative arts. This dissertation draws upon other theorists beyond phenomenology to analyze the myriad dimensions of institutional veteran care. I make the following arguments in this dissertation: First, I argue that the veteran-residents were provided with care for their physical well-being, as well as care for their social identities as veterans. I contend that the creative arts programs were a form of milieu therapy, where daily music-making and singing war songs together was a means to restore, rehearse, and perform veteranhood.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.234
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.479
GPT teacher head0.580
Teacher spread0.101 · 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.

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
Published2019
Admission routes2
Has abstractyes

Explore more

Same topicParticipatory Visual Research MethodsFrench-language works237,207