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Record W7099797953

URBAN EDUCATION / MARCH 2001James, Haig-Brown / UNIVE SITY-SCHOOL PARTNERSHIP “RETURNING THE DUES” Community and the Personal in a University-School Partnership

2016· article· en· W7099797953 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipService-learningWork (physics)Center (category theory)Service (business)Community serviceHigher education
DOInot available

Abstract

fetched live from OpenAlex

This study uses interviews to explore students ’ perspectives of a university path program, one initiative of a university-school partnership. Responses show that the abstraction of the program lives in concrete and personal dimensions for stu-dents as they move from high school to university in the same neighborhood. Advanced placement work at the university and the secondment of faculty from the school board blur distinctions between school and university. Most striking is the students ’ desire to contribute to the community that has supported them and is most closely associated with their families, the school, and the university that lies, at least geographically, within community bounds. But also I am thankful to be here [in Canada], so I’m paying, well, it’s not really paying back, but I want to return my dues. So if I’m not going into teaching, I’m probably going into some service field.... It’s very silly, but it’s deep-rooted in me that I’m thankful to be here. —Nguyen (interview regarding the Partnership Project, December 8, 1997) I think the two are intertwined for me because in my part-time [work], I’ve always helped at the community center and I’m always

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)0.002
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 score0.601
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.001
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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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
Published2016
Admission routes1
Has abstractyes

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