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Record W7024343853

The re-standardization of a socio-economic measure based on public school children in Saskatchewan

2010· article· en· W7024343853 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation in Diverse Contexts
Canadian institutionsnot available
Fundersnot available
KeywordsMeasure (data warehouse)Data collectionPublic healthStatistical analysisAttendance
DOInot available

Abstract

fetched live from OpenAlex

Cultural deprivation has been defined as "those aspects of middle class culture--such as education, books, formal language--from which these (culturally deprived) groups have not benefited" (Riesman, 1962, p.3). Riesman's estimate, based on the proportion of the population designated as lower class, indicates that one out of every three school children is culturally deprived (Riesman, 1962). This emphasis on social class as a cause of cultural deprivation is also made by Davis and Havighurst (1946, p.699) who state that "socio-economic status is believed to define and systematize different learning environments for children of different classes". These two excerpts from the literature reflect what is probably a wide spread concern in society, especially among those who are involved with problems of poverty, discrimination and ill­ness. Given an equalitarian, ethical basis of social action, it is essential, from a research point of view, to document the relation­ship between various aspects of childhood environment (such as cultural deprivation, socio-economic status) and achievement (such as academic grades, social and personal adjustment). Before these relationships can be studied, however, it is necessary to deal with the methodological problem of developing adequate measures. Neff (1928, p. 732) has stated that we possess "no standard and carefully worked up measure of this variable" (socio-economic status). Past measures have been inadequate in that they have dealt almost exclusively with economic factors--a decidedly superficial and often inaccurate approach, especially in the day of "take-now-pay-later" plans. People of vastly different earning power now own many of the same luxury items. One can also cite examples of individuals who have made socially significant achievements, in spite of the fact that they came from economically poor homes. The purpose of this study is to develop a measure of socio-economic status which will be applicable to persons living in Saskatchewan.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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