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Record W6948763864 · doi:10.5279/dk-sa-dda-6111

ISSP 1997: Arbejdsliv II

2018· dataset· da· W6948763864 on OpenAlexaboutno aff

Bibliographic record

VenueThe Danish National Archives · 2018
Typedataset
Languageda
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)Social communicationPopulationSocial impact

Abstract

fetched live from OpenAlex

Nærværende undersøgelse "ISSP-undersøgelse, 1997" er et tværsnits studie, som er gennemført i en række lande. ISSP (International Social Survey Programme) er et international samarbejde, som har 49 deltagende lande. Denne undersøgelse drejer sig om danskernes holdning til deres arbejde, samt deres syn på forholdet mellem arbejde, fritid og familie. Herunder hvad et godt arbejde er, holdning til arbejds pres, relation mellem ledelse og medarbejdere. Tilfredshed med arbejde samt syn på beskæftigelsesmuligheder. Følgende baggrundsvariable er medtaget i undersøgelsen: Alder, køn, civilstand, antal personer i husstanden, respondentens indkomst, husstandens indkomst, stemmeafgivelse ved sidste folketingsvalg. Følgende lande deltog i undersøgelsen: Bangladesh, Bulgarien, Canada, Cypern, Tjekkiet, Frankrig, Tyskland, Stor Britannien, Ungarn, Israel, Italien, Japan, Holland, New Zealand, Norge, Filippperne, Polen, Portugal, Rusland, Slovien, Spanien, Sverige, Schweiz, USA og Danmark.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.313
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0020.001
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3130.179

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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.

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
Published2018
Admission routes1
Has abstractyes

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