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Record W2899631408 · doi:10.25071/2564-4033.40243

Committing Sociology: Being Healthy, Happy, and Up-High in St. James Town

2018· article· en· W2899631408 on OpenAlexaff
Laura Bisaillon, Mehdia Hassan, Maryam Hassan

Bibliographic record

VenueHealth Tomorrow Interdisciplinarity and Internationality · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsLakehead UniversityUniversity of Toronto
Fundersnot available
KeywordsPraxisFriendshipConversationSociologyCommitContext (archaeology)Power (physics)SituatedEpistemologyPsychoanalysisAestheticsMedia studiesPsychologySocial sciencePhilosophyHistory

Abstract

fetched live from OpenAlex

There is a doggedly persistent, pervasive, and pernicious tendency to individualize ratherthan socialize problems. This is a discernable pattern that we see all around us,independent of any one particular social context. This collaboratively produced article isan example of and commitment to feminist praxis. We intentionally mobilize the “toolsof social science, friendship, and the power of conversation” (Mountz, 2016) to bring tolife ideas that Mehdia experienced for the first time in Laura’s undergraduate classroom.Specifically, she and fellow classmates, along with Maryam, learned how to cultivate andemploy their “sociological imagination” (Mills, 1959, 2000); connecting aspects ofbiography with materially arising social conditions. The aim of such inquiry is togenerate new insights and critically minded, contextually situated, and empiricallysupported explications for how things happen for and around us in the world we inhabit.In doing so, we are able to “sociologically reimagine” analysis by using visual modes ofinquiry and intentional “interdisciplinary entanglement” to blur the boundaries betweentraditional and so-called non-traditional modes of knowledge making (Jungnickel &Hjorth, 2014). We argue that the time is absolutely upon us to “commit sociology,”[1]and we offer this article as an intervention that does just this. [1] As per https://www.youtube.com/watch?v=9yT9dhHsKwc

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.365
GPT teacher head0.618
Teacher spread0.253 · 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 designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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