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Record W6926597239 · doi:10.25318/1410026001-eng

Average weekly earnings of employees, monthly (SEPH)

2020· dataset· en· W6926597239 on OpenAlexaboutno aff

Bibliographic record

VenueStatistics Canada Dissemination · 2020
Typedataset
Languageen
FieldMedicine
TopicActinomycetales infections and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsOvertimeTable (database)EarningsAggregate (composite)Measure (data warehouse)

Abstract

fetched live from OpenAlex

This table contains 14960 series, with data for years 1983 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Unit of measure (1 items: Current dollars ...), Geography (13 items: Nova Scotia;Newfoundland and Labrador;Prince Edward Island;Canada ...), Type of employee (3 items: All employees;Salaried;Paid by the hour ...), Overtime (2 items: Including overtime;Excluding overtime ...), Standard Industrial Classification, 1980 (SIC) (283 items: Industrial aggregate excluding unclassified establishments;Logging industry;Logging and forestry industries;Goods producing industries ...), Seasonal adjustment (2 items: Unadjusted;Seasonally adjusted ...).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.028
Threshold uncertainty score0.970

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)0.0000.000

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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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