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Record W1572024690 · doi:10.7895/ijadr.v4i1.199

Addiction: The dance between concept and terms

2015· article· en· W1572024690 on OpenAlexvenueno aff
Robin Room, Matilda Hellman, Kerstin Stenius

Bibliographic record

VenueThe International Journal of Alcohol and Drug Research · 2015
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyAddictionPhenomenonDanceMeaning (existential)Context (archaeology)LinguisticsRelation (database)EpistemologyPsychologyTerm (time)SociologyComputer scienceHistoryLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

Room, R., Hellman, M., & Stenius, K. (2015). Addiction: The dance between concept and terms. The International Journal Of Alcohol And Drug Research, 4(1), 27-35. doi:http://dx.doi.org/10.7895/ijadr.v4i1.199The paper discusses the relation between a concept of addiction and the terminology used for its communication, drawing on and analyzing historical citations from the Oxford English Dictionary. The history of words used in English illustrates that terms for a concept change over time, often by an existing word being repurposed. “Addiction” as a term existed prior to the contemporary concept, but with a descriptive meaning that did not carry the explanatory power intrinsic in the modern variant. So its use as a word for the modern conception of the addiction phenomenon was delayed well beyond the emergence of the concept. The experience in English of interplay between concept and terms is discussed in the context of two frames: of influence in both directions between medical and popular concepts and terms, and of cross-cultural variations in the concept and of terms for it.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.134

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.152
GPT teacher head0.425
Teacher spread0.273 · 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 teacher head, 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

Citations23
Published2015
Admission routes1
Has abstractyes

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