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Record W2140212919 · doi:10.29173/slw6795

The Effect of Early Adolescents' Psychological Needs Satisfaction upon Their Perceived Competence in Information Skills and Intrinsic Motivation for Research

2007· article· en· W2140212919 on OpenAlexvenueno aff
Marilyn P. Arnone, Rebecca Reynolds, Todd Marshall

Bibliographic record

VenueSchool Libraries Worldwide · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsnot available
FundersUniversity of RochesterSyracuse UniversityInstitute of Museum and Library Services
KeywordsCompetence (human resources)Self-determination theoryAutonomyPsychologyIntrinsic motivationPerceptionAffect (linguistics)Social psychologyPedagogyMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

The American Association of School Librarians' Standards for the 21stCentury Learner make clear that information skills alone are not sufficient for student success; students must also value those skills, use them in a productive and responsible manner, and have the motivational "dispositions in action" to support successful research and independent lifelong learning. Self-determination theory highlights perceived competence and autonomy as two basic psychological needs that support intrinsically-motivated behavior. This study investigates the extent to which context factors inherent to the school library influence students' perceived competence in the domain of information skills (PCIS), and their intrinsic motivation for research (IMR).

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.339
Teacher spread0.314 · 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 designObservational
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

Citations32
Published2007
Admission routes1
Has abstractyes

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