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Record W4246436297 · doi:10.25336/p6ww35

Guest Editor's Introduction

2017· article· en· W4246436297 on OpenAlexaffvenueabout
Gustave Goldmann

Bibliographic record

VenueCanadian Studies in Population · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

In 2015, the Federation of Canadian Demographers (FCD) held a conference in Ottawa on the theme "Revisiting Demographic Challenges in the 21st Century-Population Dynamics, Demographic Methods, and Public Policy." The organizers' intention was to revisit some of the dominant ideas expressed at an earlier FCD conference, "Demographic Challenges of the 21st Century." Indeed, important social demographic changes evolved over the 10-year span between these two conferences: Canadian society witnessed the continuing urbanization of Canada's Indigenous Peoples; fertility rates stayed low, at sub-replacement levels; family structures became increasing more complex; continued ageing of the population led to an increasingly older labour force, as well as changes in health policies; changes in immigration patterns has resulted in the social fabric becoming increasingly diverse along ethnic, racial, religious, and linguistic lines; and cancellation of the long-form census in 2011 (recently reinstated for the 2016 Census) prompted researchers to explore new data sources in order to supplement available census data.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.043
GPT teacher head0.337
Teacher spread0.295 · 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
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
Published2017
Admission routes3
Has abstractyes

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