MétaCan
Menu
Back to cohort
Record W7008832642

On the content and structure of values: Universals or methodolical artefacts ?

2004· article· en· W7008832642 on OpenAlexaboutno aff

Bibliographic record

VenueURN:NBN Resolver for Germany & Switzerland (German National Library) · 2004
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
Fundersnot available
KeywordsShalomRelation (database)Problem of universalsContent (measure theory)Value (mathematics)GeneralizationSample (material)Dimension (graph theory)Feature (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

During the past fifteen years, Shalom Schwartz developed and continuously refined a comprehensive theory on the structure of values. One significant feature of his approach is that it does not confine itself to the mere distinction of value types. Rather, building on Guttman's facet approach, the theory specifies a set of dynamic relations among values by referring to mutual compatibilities and conflicts in the pursuit of the motivational concerns that they express. In addition, and more importantly for the present study, Schwartz summarised these dynamic relation in terms of a two-dimensional bipolar structure. It is this structure which we tried to replicate in our study. Other than Schwartz, however, we did not use the 'Schwartz Value Survey' for this purpose. Instead, we applied a short version of Morris' 'Ways to Live' developed by Dempsey and Dukes, the 'Kilmann Insight Test', and McClelland's 'Personal Values Questionnaire' to a sample of N=144 Canadian marketing students. Data were analysed by means of nonmetric multidimensional scaling. Results show that many though not all features of the Schwartz values model could be replicated. Correspondence with and deviations from the hypothesised structure are discussed, considering both conceptual and methodological differences in values assessment.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.127
GPT teacher head0.363
Teacher spread0.236 · 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.

Study designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueURN:NBN Resolver for Germany & Switzerland (German National Library)Same topicCultural Differences and ValuesFrench-language works237,207