MétaCan
Menu
Back to cohort
Record W2154014613 · doi:10.1177/1524839909334623

Pedometers as Measurement Tools and Motivational Devices: New Insights for Researchers and Practitioners

2009· article· en· W2154014613 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Promotion Practice · 2009
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPedometerPhysical activityHealth promotionIntervention (counseling)PsychologyPromotion (chess)Applied psychologyMedical educationMedicinePhysical therapyPublic healthNursing

Abstract

fetched live from OpenAlex

Pedometers are increasingly used in physical activity research and health promotion initiatives. This pilot study examines the efficacy of pedometers as motivational tools for increasing daily physical activity and exploring the practical issues related to pedometer use in research and intervention studies. A mixed-method design is used to collect data on the level of activity and in-depth information about participants' experiences wearing the pedometers. Participants are 10 midlife women between the ages of 45 and 64 (mean age = 52.9). Analysis indicates pedometers function as important motivational tools for increasing daily physical activity and improving the awareness of activity patterns for participants. Findings provide new insights into participants' experiences using the pedometers and understanding how these devices function as research tools. Several important methodological considerations for future research and intervention designs using pedometers are discussed.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.797
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.383
GPT teacher head0.477
Teacher spread0.093 · 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