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Record W4251416263 · doi:10.24124/2009/bpgub1082

Critical mass: the who, how and why of informing the public about crystal methamphetamine in Prince George

2009· dissertation· en· W4251416263 on OpenAlexaboutno aff
J.R.A. Mitchell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)George (robot)MandatePolitical scienceTimelineGovernment (linguistics)Public administrationPublic relationsSociologyLawSocial scienceHistoryArt history

Abstract

fetched live from OpenAlex

In 2000, crystal methamphetamine made an appearance in the Prince George hospital detox unit and drug busts however, the first public warning via a provincially sponsored information forum did not occur until early 2006. This retrospective case study uses documentary evidence and interviews, to examine the who, how, and why of the information about crystal methamphetamine that is provided to the public in Prince George. A timeline of media accounts reveals an increase in language designed to stimulate public concern about crystal methamphetamine and increase public trust for the provincial government. Horizontal disconnection between community agencies in terms of role recognition (internal recognition of an agency mandate) and role perception (external perception of agency mandate) seems to increase difficulties in strategic planning and formulation of a shared vision for the community. --Leaf i.

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)0.008
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.020
Scholarly communication0.0060.008
Open science0.0010.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.417
Teacher spread0.367 · 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 designQualitative
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

Citations0
Published2009
Admission routes1
Has abstractyes

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