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Record W3107803237 · doi:10.21814/uminho.ed.24.3

“COVID-19 em Sarilhos”: respostas de intervenção na promoção de competências autorregulatórias em período de pandemia

2020· book-chapter· pt· W3107803237 on OpenAlexaff
Pedro Rosário, Jennifer Cunha, Armanda Pereira, Ana Guimarães, Clara Vieira, Dulce Lopes, Patrícia Sousa

Bibliographic record

VenueUMinho Editora eBooks · 2020
Typebook-chapter
Languagept
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)HumanitiesPhilosophyArtMedicineDisease

Abstract

fetched live from OpenAlex

[Excerto] A pandemia COVID-19 desarrumou as nossas vidas sem aviso prévio. A chegada repentina trouxe inúmeros desafios pessoais e sociais com impacto significativo na vida das pessoas e dos contextos. As medidas contra a propagação do vírus (e.g., o encerramento das escolas, teletrabalho) trouxeram mudanças significativas para a vida das famílias. Por exemplo, a noção de casa foi resignificada abruptamente. A ideia de casa como lugar de abrigo das famílias, locus privilegiado para o estabelecimento de laços e desenvolvimento pessoal e de lazer em família, incorporou uma componente profissional. Em muitas casas entrou a sala de aula e o escritório sem a necessária preparação. Muitas casas, muitas vidas familiares, converteram-se em escola a tempo inteiro partilhada com escritório(s) profissional(is) trabalhando a tempo inteiro. Esta mudança brusca de práticas sobrecarregou as famílias, já de si preocupadas e ocupadas em responder às exigências sanitárias da pandemia. [...]

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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.095
GPT teacher head0.395
Teacher spread0.300 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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