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Record W2114393758

Cómo los padres canadienses de clase media alta conceptualizan la transmisión de ventajas a sus hijos

2011· article· es· W2114393758 on OpenAlexaffabout
Janice Aurin

Bibliographic record

VenueAmericanae (AECID Library) · 2011
Typearticle
Languagees
FieldSocial Sciences
TopicLiteracy and Educational Practices
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

By means of 42 interviews applied to upper-middle-class Canadian parents, this research project examines the way they understand the transmission of advantages,and how such understanding shapes their children´s upbringing. The author\nfinds out that these parents do not consider economic capital as the most important resource, nor they stress the importance of seeking a higher cultural status. On the contrary, they emphasize the importance of exposing their children to new and\ndiverse experiences and cultures, supporting the kids interests, and being good models to them. According to these parents, this approach not only promotes broader and more cosmopolitan cultural competences, but also develops character. Economic\nresources are perceived as a consequence, since they allow parents to encourage the development of such qualities and values. The author sets these findings in an educational context in Canada, and concludes her article by questioning the potentially post-materialist and cultural origin of the interviewees understanding of social reproduction processes.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.696

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.008
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.303
Teacher spread0.272 · 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 designQualitative
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
Published2011
Admission routes2
Has abstractyes

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