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Record W4298003613 · doi:10.1177/14614448221122186

Difficult heritage on social network sites: An integrative review

2022· article· en· W4298003613 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.

Bibliographic record

VenueNew Media & Society · 2022
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSocial mediaSituatedSociologyMedia studiesWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Social network sites (SNS) have recently become an active ground for interactions on contested and dissonant heritage, on the heritage of excluded and subaltern groups, and on the heritage of collective traumatic past events. Situated at the intersection between heritage studies, memory studies, Holocaust studies, social media studies and digital heritage studies, a growing body of scholarly literature has been emerging in the past 10 years, addressing online communication practices on SNS. This study, an integrative review of a comprehensive corpus of 80 scholarly works about difficult heritage on SNS, identifies the profile of authors contributing to this emerging area of research, the increasing frequency of publication after 2017, the prevalence of qualitative research methods, the global geographic dispersion of heritage addressed, and the emergence of common themes and concepts derived mostly from the authors ‘home’ fields of memory studies, heritage studies and (digital) media studies.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.063
GPT teacher head0.342
Teacher spread0.279 · 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