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Record W7098015292

D. Hardy Cox & C. Courage – Y Gens in Higher Education – Who are they and what do they expect from us?

2015· article· en· W7098015292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGenerational Differences and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsGensBaby boomersHigher educationCourageFace (sociological concept)ScholarshipHindsight biasDistance education
DOInot available

Abstract

fetched live from OpenAlex

and what do they expect from us? The growing interest in Canada about the student and their student opinions about post-secondary education experiences has become the latest focus in public print media in 2006. As members of post-secondary institutions, what do we really know about students and their learning expectations? This question is explored through the lens of a professor and a student. The article provides a professor like overview of the “vision ” of the Y Generation students and shares the “voice ” of a Y Gen learner. The emergent story for university teachers appears to lie in the collaborative exploration of teaching and learning experiences. Who are the students in higher education today? For an increasing number of educational experiences, both the teacher and student are somewhat invisible to each other through the increasing distance and online course offerings. Larger classes and face to face teaching experiences, while later providing a real time image of students, does not reveal the multi-faceted Y Generation or “Gen Y ” or “Ygen ” student. The determination of the cohort constituting the Y Generation like other demographic demarcations has variability. Wikipedia (2007) has identified persons born between 1978 and 2000 as defining this cohort. Characterized as impatient, skeptical, blunt and expressive, image driven, young, adaptable, technologically savvy, learning orientated efficient multi-taskers, and tolerant the Y Gens comprise the largest generation since the baby boomers (NAS, 2007). Much of the current discussion and literature relative to Y Gens is typically found in relationship to the work place from both a career planning and employer perspectives. Foster’s (2006) interview of Linda Duxbury, Sprott School of Business, describes four distinct generations in the workplace: 1) Veteran Generation who were born before 1946; 2) Baby Boomers, born 1946-64 and make up 58 % of labour market; 3) Generation X, born 1961-1974 and

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.338
Teacher spread0.235 · 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

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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