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Record W4405015150 · doi:10.1080/13645579.2024.2435366

Turning ethnography on its head in research about internet sexual offending

2024· article· en· W4405015150 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Social Research Methodology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCommonwealth Scholarship Commission
KeywordsEthnographySociologyCriminologyThe InternetPsychologyHead (geology)Gender studiesSocial psychologyMedia studiesComputer scienceAnthropologyWorld Wide Web

Abstract

fetched live from OpenAlex

This paper focuses on methods from a 17-month ethnography in UK group programmes for 81 users of online child sexual exploitation material. It analyses the affordances and restrictions of conducting research in a defined programme/service and professional setting segmented from participants’ everyday lives, as well as procedures put in place for enhanced participant anonymity, confidentiality, privacy, and boundaries. The article demonstrates that the setting and methods resulted in limitations that were simultaneously assets, arguing that information about online sexual offending would likely not have been gleaned otherwise. As a result, the typical ethnographic trajectory was turned on its head: sensitive information rarely told to anyone was divulged in detail, while basic elements about participants, their social networks, and their lives were not. This invites researchers to consider which tenets of ethnography are immovable versus flexible, and the types of information that can/should be obtained through certain methods for specific topics.

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)0.060
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0600.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.780
GPT teacher head0.684
Teacher spread0.096 · 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