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“Best Practice” Around 1800. Johann Heinrich Pestalozzi’s Educational Enterprise in Switzerland and the Establishment of Private Pestalozzi Schools Abroad

2011· article· en· W1966966000 on OpenAlexvenueno aff
Rebekka Horlacher

Bibliographic record

VenueEncounters in Theory and History of Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsTemptationContext (archaeology)Harmony (color)PedagogyMoral educationPolitical scienceSociologyHumanityLawPublic relationsPsychologySocial psychologyHistory

Abstract

fetched live from OpenAlex

In the wake of the first PISA-survey, experts in education encouraged educational policy to take the successful Finnish school-system as a model. But the temptation to copy successful attempts in education is even older and leads us back right to the beginning of the heated public discourses about the importance of education in the context of the emerging national states. In the midst of this transnational discourse around 1800 was the Swiss Johann Heinrich Pestalozzi (1746–1827). In his private institutes he tried to apply his pedagogical “method,” promising to teach the children the elementary knowledge easily, quickly, and effectively and at the same time to develop these cognitive competencies in harmony with the physical and moral capacities of the young human, leading eventually to a fully developed intelligent moral person. These promises were very attractive for governments, teachers, and parents from all over Europe and even from the United States.

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)0.009
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.016
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0070.003

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 head0.014
GPT teacher head0.308
Teacher spread0.294 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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