MétaCan
Menu
Back to cohort
Record W3173051548 · doi:10.1177/00113921211017605

A method to analyze invisibility: Navigating the dissonance between woke and safe

2021· article· en· W3173051548 on OpenAlex
Ravindra N. Mohabeer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsInvisibilityConstruct (python library)SociologyPower (physics)Human sexualityEpistemologySocial psychologyGender studiesPsychologyComputer science

Abstract

fetched live from OpenAlex

This article starts by considering how ‘the talk’ that black and non-black minority families give to their children comes as a duty to transfer the wisdom of how to be invisible forward through generations. It is not uncommon to think about being visible as a social good, but this is not quite so straightforward when one occupies a body deemed as ‘other.’ This article exposes this tension to explore how invisibility can be understood as an independent, complex, and nuanced social dynamic in its own right by considering literature that uses invisibility as an analytical lens, providing a synthesis of that literature to offer a preliminary multidimensional model of invisibility to extend extant tools for sociological study. This literature considers race, gender, sexuality, various presentations of power, and different social systems to demonstrate a model that identifies how the intersection of power, affect, presence, and voice fluidly transfigure across time and space to create an overall social construct of invisibility. This suggests that deeper development of a multidimensional construct of invisibility can provide a reasoned and valuable additional lens to address a range of social dynamics.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.434
Teacher spread0.382 · 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