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<scp>P</scp> ortugal, Families in

2016· other· en· W2520572021 on OpenAlexaff
Fausto Amaro, Bárbara Barbosa Neves

Bibliographic record

VenueEncyclopedia of Family Studies · 2016
Typeother
Languageen
FieldSocial Sciences
TopicSocial Policies and Family
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLife expectancyPortugueseDictatorshipConstitutionPopulationDemocracyGeographyEuropean unionDemographyState (computer science)Total fertility ratePeninsulaMember stateFertilityMember statesPolitical scienceEconomic historyDemographic economicsEconomySociologyHistoryEconomicsLawResearch methodologyFamily planningEconomic policy

Abstract

fetched live from OpenAlex

Abstract Portugal is a European country located on the Iberian Peninsula and has been a member of the European Union since 1986. Portugal is a semipresidential constitutional republic, a democratic state based on the rule of law. It has a population of 10.5 million (2012), 48 percent male and 52 percent female. As are most developed countries, in the early twenty‐first century Portugal is experiencing an aging population trend based on low birth, fertility, and mortality rates and high life expectancy rates. Most Portuguese families are nuclear or conjugal, followed by couples without children and single‐person families. The average number of people per family has been decreasing, from 4.2 in 1920 to 2.6 in 2011. After the 1974 revolution, which ended a long‐term dictatorship, the Portuguese Constitution expressed the principle of equal gender rights. Compared to other European countries, Portugal has a high rate of full‐time female employment, in part because low salaries created the need for dual‐earner households.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.157
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1570.012

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 head0.036
GPT teacher head0.342
Teacher spread0.306 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2016
Admission routes1
Has abstractyes

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