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Advance Praise page for A New Lens on Emerging Adulthood

2023· other· en· W4388959114 on OpenAlexaboutno aff
Shmuel Shulman

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsPraiseLens (geology)ArtLiteratureOpticsPhysics

Abstract

fetched live from OpenAlex

“Shulman beautifully extends the developmental systems perspective to provide a fresh, positive view of the struggles in the transition to adulthood. This book is at once scholarly, insightful, and lucid.” “Practitioners and researchers will be richly informed by Professor Shulman’s masterful integration of the quantitative and qualitative findings from his seminal twelve-year study and new understandings of the transition to adulthood.” “Professor Shulman’s newest book presents a brilliant reworking of the psychological underpinnings of the emerging adulthood. He skillfully integrates his experiences as a clinical psychologist with findings from his ground-breaking study of the lived experiences of young adults and proposes that resolving personal, vocational, and relational uncertainty is central to these years. This book is a must-read for students and researchers as well as clinicians working with emerging adults.”

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.935
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0060.007
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0650.019

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 head0.035
GPT teacher head0.362
Teacher spread0.327 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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