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Record W6912931013 · doi:10.5683/sp3/viiwdi

General Social Survey, Cycle 21, 2007 [Canada]: Family, Social Support, and Retirement

2009· dataset· en· W6912931013 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2009
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSocial policyWork (physics)General Social SurveySurvey data collectionOrder (exchange)Survey of Income and Program ParticipationSocial care

Abstract

fetched live from OpenAlex

The General Social Survey (GSS) program gathers data on social subjects in order to monitor changes in the living conditions and well being of Canadians over time and to provide immediate information on specific social policy issues of current or emerging interest. The purpose of Cycle 21 is to better understand the experiences of Canadians 45 years of age and over by examining key transitions related to their families, care giving and receiving, work and retirement. The survey collected information on topics such as well-being, family composition, retirement decisions and plans, care giving and care receiving experiences, social networks and housing. New questions in Cycle 21 looked at consequences of giving care, returning to work after retirement and residential changes resulting from retirement. Results from this survey will have an impact in the areas of health, income security, employment and lifelong learning, marriage and family, housing, care-receiving and care-giving and retirement.

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 categoriesMeta-epidemiology (narrow)
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 score0.153
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.289
Teacher spread0.258 · 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 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
Published2009
Admission routes1
Has abstractyes

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