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Record W2064969089 · doi:10.1080/13676260120075437

The Usual Suspects? A Comparative Investigation of Crowds and Social-type Labelling among Young British Teenagers

2001· article· en· W2064969089 on OpenAlexfundno aff
Crispin Thurlow

Bibliographic record

VenueJournal of Youth Studies · 2001
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsCrowdsReputationIdentification (biology)PsychologySocial psychologySociologySocial scienceComputer scienceBiologyEcologyComputer security

Abstract

fetched live from OpenAlex

In the USA, reputation-based crowds (as opposed to interaction-based cliques) are a widespread, and widely reported, dimension of adolescent peer relations. To date, there is no such British literature. As part of a larger study, some 460 British secondary school pupils were asked to identify major groupings at school. Crowds accounted for almost half of all the groupings reported. While there was evidence of the usual panoply of these social type labels reported in the USA, such as Populars, Brains, and Toughies, there were also clear differences, not only between British and US crowds (e.g. a noticeable absence of Jocks and Outcasts in the British case) but also between schools, with some very distinctive, highly localized social identification units. With some evidence of ethnically oriented affiliations, these seemed to be more at the level of cliques than crowds and were very much less prevalent than anticipated by existing literature.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0050.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.070
GPT teacher head0.339
Teacher spread0.269 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2001
Admission routes1
Has abstractyes

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