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Record W4402109752 · doi:10.55016/ojs/jet.v1i1.43484

Schooling in an Earlier Era: Some Reminiscences and Convictions

2018· article· en· W4402109752 on OpenAlexaboutno aff
Charles E Phillips

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

This article should be childishly simple because it is a record of my ownexperience as a boy and as a pupil during the early part of the presentcentury, with occasional indications of how that experience fitted in witheducational thought and conditions at the time.From age three to seven I was taught at home to tell the time and toplay dominoes, checkers, and a variety of card games-including euchre,cassino, thirty on the king, poker, and whist. These were obviouslyuseful accomplishments because we lived with grandparents, an aunt, andtwo uncles-all maternal. My aunt seemed to rely on me to get her offto work on time, and I was constantly in demand to make a fourth atcards, except on Sundays, when only dominoes and checkers were allowed.Another advantage was that I was well prepared for learning to readat school without having interest killed by pre-knowledge of what theschool would teach. Although the school had a kindergarten, I was notsent to it. My Anglican parents were probably aware of concern expressedin the Toronto synod in 1900 about heretical religious views of Froebel,but that would not have deterred them. Certainly it was not because kindergartenswere "progressive:" my father and mother were extremely "permissive"even if unaware of any such labels. My only recollection is thatthey saw no reason for rushing things by sending a child to be cooped upin school earlier than need be. Of course, no one in our house had r eceivedmore than an elementary education except my relatively youngaunt, who had a year or two in fifth book, but my parents set no upperlimits on the length of formal education-quite the contrary.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.391
Teacher spread0.362 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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