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Record W4245186834 · doi:10.4337/9780857933010.00005

Preface

2012· book-chapter· en· W4245186834 on OpenAlexfundno aff

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
FundersDalhousie University
KeywordsPhilosophyHistory

Abstract

fetched live from OpenAlex

An ancient Arab proverb proclaims that men resemble their times more than they do their fathers. The age-old notion that social change is embedded in value shifts from one generation to another has become something of a truism over time. Phrases like "my generation," "the younger generation" and the "post-war generation" have crept into common vernacular as a means of demarcating signifi cant social groups on the basis of their locations in history. Yet our recent interest in diff erences among the generations is not mere fad or pop-culture frivolity. The construct of generations has a long theoretical tradition in the fi eld of sociology. The theory of generations is largely predicated on the foundational work of sociologist Karl Mannheim, whose 1923 essay "The problem of generations" posited that individuals born within the same historical period and socio-cultural context experience the same events and context during their crucial formative years, which provides them with a common "inborn way of experiencing life and the world" In other words, history imbues each generation with a unique worldview, which is forged by the historical opportunities and challenges of our times. Subsequent researchers and theorists have elaborated on this theory, noting that the shaping infl uences of a generation must be understood as the confl uence of historical events, progression through the developmental life cycle and episodic period eff ects that impact on society as a whole Others have depicted the generational phenomenon as a battle for resources, with younger and older generations fi ghting to serve their own specifi c interests Thus, we can view a generation as the product of its historical context, experienced over the course of its biological life cycle, aff ected by periodic events that aff ect the opportunities and challenges it faces.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.045
GPT teacher head0.291
Teacher spread0.246 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueEdward Elgar Publishing eBooksSame topicYouth Education and Societal DynamicsFrench-language works237,207