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Record W2614079273 · doi:10.1787/953f3853-en

The great divergence(s)

2017· paratext· en· W2614079273 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.

Bibliographic record

VenueOECD science, technology and industry policy papers · 2017
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWage dispersionProductivityWageDispersion (optics)Labour economicsDistribution (mathematics)Divergence (linguistics)EconomicsLegislationGlobalizationEfficiency wageBusinessMarket economyMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

This report provides new evidence on the increasing dispersion in wages and productivity using novel micro-aggregated firm-level data from 16 countries. First, the report documents an increase in wage and productivity dispersions, for both manufacturing and market services. Second, it shows that these trends are driven by differences within rather than across sectors, and that the increase in dispersion is mainly driven by the bottom of the distribution, while divergence at the top occurs only in the service sector, and only after 2005. Third, it suggests that between-firm wage dispersion is linked to increasing differences between high and low productivity firms. Fourth, it suggests that both globalisation and digitalisation imply higher wage divergence, but strengthen the link between productivity and wage dispersion. Finally, it investigates the impact of minimum wage, employment protection legislation, trade union density, and coordination in wage setting on wage dispersion and its link to productivity dispersion.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.006
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.028
GPT teacher head0.278
Teacher spread0.250 · 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