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Record W2807618186 · doi:10.1111/area.12464

The enduring field: Exploring researcher emotions in covert research with antagonistic organisations

2018· article· en· W2807618186 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArea · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCovertClosetField (mathematics)LesbianSociologyAdversarySpace (punctuation)Human sexualitySocial psychologyInvisibilityProcess (computing)Gender studiesPsychologyEpistemologyPublic relationsPolitical scienceComputer scienceComputer securityHistory

Abstract

fetched live from OpenAlex

This paper explores the emotional dimensions of doing covert research with antagonistic organisations. Drawing on the experiences of three researchers who identify as lesbian, gay, and LGBT ally, who covertly attended public and semi‐public conferences and events organised by groups with heteroactivist positionings over two years, we consider the multiple, nuanced and complex emotional dimensions of being “behind enemy lines” (Jansson, ). We argue for greater consideration of the emotional spaces covert research creates, as in our case a “closet” space was produced which suppressed our sexualities or allyship. Furthermore, we argue that the process of doing covert research is one that both precedes and exceeds being in the field, and as such, we need to pay attention to researcher emotion as a process that begins long before we step into the field and continues long after we leave.

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)0.015
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
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 head0.719
GPT teacher head0.599
Teacher spread0.120 · 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