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Record W2141378589 · doi:10.32316/hse/rhe.v26i2.4400

William J. Reese, Testing Wars in the Public Schools: A Forgotten History

2014· article· en· W2141378589 on OpenAlexaffvenueabout
Harry Smaller

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Historical and Scientific Studies
Canadian institutionsYork University
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

As a high school student in the late 1950s, I (and thousands of others) experienced the Ontario Grade 13 "Departmental Exams" -standardized exams which were sent out in sealed envelopes to high schools across the province, to be written at the same time everywhere (e.g.English Literature -Monday, June 9 th , 9:00am, etc.).Our names were coded on our answer sheets, and they were sent to Toronto to be marked anonymously by teachers hired for the summer.Later in the summer we would receive in the mail a print-out of our results -and soon afterwards, a brochure would appear in the mailbox from our local Board of Education (a large suburb of Toronto), ranking all the schools in the district according to the percentage of exams passed.(For whatever reasons, individual students, classes or teachers were not identified in these brochures).University enrolment was based almost entirely on the results of these "Departmentals."To this day, two specific memories stand out for me, in addition to the "nervousness and fright" (see below) that many of us suffered.First, some months before the end of term, on our sciences and maths teachers' instructions (five courses and five final exams), money would be collected from students and class sets of "Coles Reprints" purchased.These reprints were collections of all of the Departmental Exams from the previous twenty-five years.Then, for much of the rest of the year, each day's classes would consist of going over, in detail, all of the questions from one year's exam.My other memory pertains to the experience which a classmate suffered that year.Our French teacher had decided that he would probably not be successful in his exam at year's end and, clearly in collusion with school officials, he was told part way through the year that he should wait until the following year to take the course and that he was going to be removed from the class in the meantime (in effect, extending his

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.242
GPT teacher head0.296
Teacher spread0.055 · 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 designNot applicable
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
Published2014
Admission routes3
Has abstractyes

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