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Record W4416862138 · doi:10.26603/001c.147397

From the International Federation of Sports Physiotherapy to the International Sports and Exercise Physiotherapy Association: Celebrating Twenty-Five Years of the International Federation of Sports Physical Therapy

2025· article· en· W4416862138 on OpenAlexaff
Suzanne Gard, Nicola Phillips, Despoina Ignatoglou, Eva Uršej, Mario Bizzini

Bibliographic record

VenueInternational Journal of Sports Physical Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsAthletic Edge Sports Medicine
Fundersnot available
KeywordsSports medicineRussian federationPhysical activityMEDLINEAthletes

Abstract

fetched live from OpenAlex

Over the span of 25 years, the International Federation of Sports Physical Therapy (IFSPT) has grown from its founding in 2000 in the city of Utrecht in the Netherlands to a Federation of more than 40 member organizations. The IFSPT was officially recognized as a member organization of the World Confederation for Physical Therapy in 2003. Since then, it has partnered with the International Journal of Sports Physical Therapy (in 2010), defined the core competencies for sports physiotherapists, launched the pathway to become a Registered International Sports Physical Therapist, and inaugurated its own World Congress in 2015, with the sixth congress planned for December 2026. This perspective reviews these milestones, notes remaining global disparities, and outlines priorities in equity, digital health, and sustainability. Level of Evidence: 5.

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)0.013
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.016
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.003
Scholarly communication0.0090.008
Open science0.0010.007
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0160.004

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 head0.006
GPT teacher head0.300
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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