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Record W3109814401 · doi:10.31542/cb.v2i1.1987

A Return to Mechanical Solidarity

2020· article· en· W3109814401 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCrossing Borders Student Reflections on Global Social Issues · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsMacEwan University
Fundersnot available
KeywordsHoarding (animal behavior)SolidarityPanicConsciousnessSociologySocial psychologyPsychologyPolitical sciencePoliticsAnxietyLaw

Abstract

fetched live from OpenAlex

The emergence of the Covid-19 pandemic brought many changes to daily life in Canada. One such behavior that surfaced was what could be defined as ‘panic hoarding,’ namely, the purchasing of items such as toilet paper, sanitizer and disinfectant in far greater quantities per person than other times, which risked the creation of shortages across communities. In order to understand such behavior, this article will use ideas from Émile Durkheim to analyze the relationship of social media and its impact on the behavior of panic hoarding. In particular, Durkheim’s concepts of collective consciousness show how social media provides enough impetus to make the case that this pandemic is better defined by mechanical than organic solidarity. We can see social media as the vehicle through which collective consciousness can be experienced, and more immediately so at this time, insofar as we see how it influences panic hoarding behavior. We can also see that social media’s use of memes can be likened to totems, and that they give clues to the values we hold at this time.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.102
GPT teacher head0.430
Teacher spread0.328 · 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