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Record W3020870509 · doi:10.32316/hse/rhe.v32i1.4743

Child Labour, Parental Neglect, School Boards, and Teacher Quality: School Inspector Reports on the Supply and Demand of Schooling in Mid-nineteenth-century Sweden

2020· article· en· W3020870509 on OpenAlexvenueno aff
Germund Larsson, Johannes Westberg

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsNeglectEconomic shortageChild labourState (computer science)AttendanceQuality (philosophy)SociologyEconomic growthPolitical scienceDemographic economicsEconomicsPsychologyEngineering

Abstract

fetched live from OpenAlex

By examining the state school inspector reports of 1861–1863, which provide rich insights into the local conditions of schooling in Sweden, this article sheds further light on the wide range of factors that weakened school enrolment and attendance in nineteenth-century Sweden. In terms of parental demand, these included child labour on farms, at manors, and in industries; the transformation of the servant system among rural households; and religious practices, such as the confirmation and the beliefs of Protestant sectarian groups. On the supply side, factors that school inspectors reported included the inability of Swedish teacher seminars to examine enough teachers and the problematic behaviour of local school boards. As a result, this article provides additional input into the debate in educational history regarding the role of the state, religion, rural elites, and parents in the rise of mass schooling, while simultaneously providing further qualitative evidence to a quantitatively oriented research field in economic history on the determinants of schooling.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.355
Teacher spread0.285 · 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 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
Published2020
Admission routes1
Has abstractyes

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