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Record W1518798252 · doi:10.32316/hse/rhe.v25i1.4289

The YMCA and the Origins of Freshman Orientation Programs

2013· article· en· W1518798252 on OpenAlexvenueaboutno aff
Dorothy E. Finnegan, Nathan F. Alleman

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicCatholicism and Religious Studies
Canadian institutionsnot available
FundersUniversity of OxfordAmerican College Personnel Association - College Student Educators InternationalUniversity of ChicagoOhio State UniversityJohns Hopkins UniversityUniversity of MinnesotaYale University
KeywordsSocializationPsychological interventionIntuitionOrientation (vector space)Future orientationThe VoidPsychologySociologySocial psychologyEpistemologyCognitive science

Abstract

fetched live from OpenAlex

Most insightful historical work pinpoints the rise of freshman orientation programs in the mid 1920s as one instance of administrative specialization emerging to fill the advising and socialization void left by faculty taken with academic particularization. Although the press of the historical moment is indeed relevant, institutionalized freshman orientation did not emerge in the historical moment of the 1920s sans progenitor. Rather, specific students sensed the needs of their peers and acted upon their intuition much earlier as a latent orientation function of their manifest religious intent. This research illustrates the lineage of freshman events and college socialization interventions that accumulated over several decades and demonstrates that they were initiated originally by students themselves, specifically through the Young Men’s Christian Association (YMCA) Student Associations found across the United States and many parts of Canada.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.009
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.062
GPT teacher head0.292
Teacher spread0.230 · 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 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

Citations2
Published2013
Admission routes2
Has abstractyes

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