agoulah commited on
Commit
8744aae
·
verified ·
1 Parent(s): 58047eb

Card: drop fr tag (en-only corpus, <1% FR prose noted), add registration≠effect / absence≠inactivity limitation (commit 459a9f4)

Browse files
Files changed (1) hide show
  1. README.md +24 -16
README.md CHANGED
@@ -2,7 +2,6 @@
2
  pretty_name: Ontario Lobbying & MPP Disclosure Graph (oico-dd structured projection)
3
  language:
4
  - en
5
- - fr
6
  tags:
7
  - government
8
  - lobbying
@@ -236,41 +235,48 @@ in the OICO source, and it is scope-limited and tiered:
236
  topics." It is not evidence a meeting occurred, that anyone was contacted,
237
  or that anything was influenced. Subject matters and techniques are
238
  self-classified by the registrant.
239
- 2. **Co-occurrence is not causation.** "Lobbying targeted riding X while MPP Y
 
 
 
 
 
 
 
240
  held it and MPP Y disclosed an interest in Z" is three facts about public
241
  filings, not a narrative. This dataset must not be used to allege
242
  wrongdoing; lobbying and disclosure are the *compliance* mechanisms working
243
  as designed.
244
- 3. **Active-set lower bound.** See [Provenance](#provenance): historical
245
  counts are lower bounds; de-registered filings are absent.
246
- 4. **PDS lists interests, not amounts.** MPP disclosures are
247
  interest-presence prose (with limited exceptions, no dollar values). "MPP X
248
  holds an interest in Y" is supportable; "MPP X owns $N" is not.
249
  Cross-year changes reflect disclosure changes, not necessarily economic
250
  ones. Disclosure free text is exported verbatim (`*_text` columns);
251
  structured interest→organization edges were deliberately **not** extracted
252
  (an NLP pass with its own error rate — deferred).
253
- 5. **The targets grain trap.** `registration_targets` is RAW-mention grain:
254
  the same (registration, target, subject_type) repeats across lobbying
255
  activities within one filing. **Always `DISTINCT` over
256
  `registration_no` (and `subject_type` if relevant) before counting.**
257
  `target_row_count` in `government_bodies` is raw-mention count, not
258
  registration count.
259
- 6. **HELD_BY is parliament-level.** Term dates come from the OLA roster at
260
  parliament granularity; by-election parliaments are multi-holder and
261
  tier-marked `ambiguous` (see Methodology).
262
- 7. **Name-bridge tiers are load-bearing.** Any cross-source person claim must
263
  filter the relevant tier columns to `confirmed` (and should state the tier
264
  either way). `probable` links are name-only matches.
265
- 8. **Self-reported sources.** The Integrity Commissioner reviews filings for
266
  completeness, not truthfulness.
267
- 9. **Known warts, kept honestly.** A small number of mojibake-era name twins
268
  survive as separate entities (e.g. one registration carrying both
269
  `Matthew Dubé` and `Matthew Dubé` as filer aliases resolved to two
270
  entities, ≈13 registrations affected); merging them automatically would
271
  violate the review discipline, so they remain split (under-merge by
272
  design). A handful of riding string variants likewise remain uncollapsed.
273
- 10. **Resolution decisions are auditable, not infallible.** Match methods,
274
  review flags, and corroboration signals are exported so a third party can
275
  check any call.
276
 
@@ -306,7 +312,9 @@ graph projection): `person:slug:{member_slug}` / `person:ent:{entity_id}`,
306
  `riding_id`; registrations use the registry's own `registration_no`.
307
 
308
  Dates are ISO `YYYY-MM-DD` strings (NULL where the source omits them);
309
- timestamps are ISO-8601 UTC. `*_norm` columns are deterministic
 
 
310
  lowercase/whitespace normalizations used as join keys upstream — they are not
311
  display names.
312
 
@@ -380,7 +388,7 @@ Bill, Regulation, Policy/Program, …) with free-text `goal_text`. Columns:
380
  `subject_row_id`, `registration_no`, `subject_kind`, `subject_type`,
381
  `subject_text`, `subject_norm`, `goal_text`, `source`.
382
 
383
- **`registration_targets`** — ⚠ RAW-mention grain (limitation 5): one row per
384
  target mention per lobbying activity. `target_kind` ∈ `mpp` (riding-office;
385
  resolves to `riding_id`), `ministry`, `ministers_office`, `agency` (resolve
386
  to `govbody_id`), `other_institution` (kept verbatim, no resolved ref).
@@ -460,7 +468,7 @@ source](#the-one-assertion-beyond-the-sources-minister-portfolios)):
460
  `match_method`, `reviewed`, `review_note`, `source`.
461
 
462
  **`held_by`** — one row per (riding, person, parliament) holding;
463
- by-election parliaments emit multiple rows marked `ambiguous` (limitation 6).
464
  `term_end` NULL = ongoing. Columns: `held_by_id`, `riding_id`, `riding_raw`,
465
  `member_slug`, `person_id`, `parliament_number`, `term_start`, `term_end`,
466
  `term_start_raw`, `term_end_raw`, `ambiguous`, `confidence_tier`, `source`.
@@ -470,7 +478,7 @@ by-election parliaments emit multiple rows marked `ambiguous` (limitation 6).
470
  **`disclosures`** — one row per disclosure FILING EVENT, grain
471
  (mpp, year, as_of_date) — an MPP can file twice in a year (by-election +
472
  year-end), and both rows coexist. Interest panels are verbatim free text
473
- (limitation 4). Columns: `disclosure_id`, `person_id`, `mpp_id`, `mpp_name`,
474
  `riding_raw`, `year`, `as_of`, `as_of_date`, `income_text`, `assets_text`,
475
  `liabilities_text`, `gifts_text`, `offices_text`, `spouse_income_text`,
476
  `spouse_assets_text`, `spouse_liabilities_text`, `person_resolution_tier`,
@@ -501,11 +509,11 @@ in_term = hits[
501
  (hits.initial_filing_date >= hits.term_start)
502
  & (hits.term_end.isna() | (hits.initial_filing_date <= hits.term_end))
503
  ]
504
- n = in_term.registration_no.nunique() # DISTINCT — limitation 5
505
  ```
506
 
507
  The result is a count of *registrations declaring intent to lobby that
508
- office during that tenure* — a lower bound (limitation 3), not a contact log
509
  (limitation 1).
510
 
511
  ## Reproducibility
 
2
  pretty_name: Ontario Lobbying & MPP Disclosure Graph (oico-dd structured projection)
3
  language:
4
  - en
 
5
  tags:
6
  - government
7
  - lobbying
 
235
  topics." It is not evidence a meeting occurred, that anyone was contacted,
236
  or that anything was influenced. Subject matters and techniques are
237
  self-classified by the registrant.
238
+ 2. **Registration effect, and absence ≠ inactivity.** A registration in this
239
+ data records intent to lobby; it does not indicate the lobbying succeeded
240
+ or that any outcome followed. Conversely, the absence of a registration
241
+ does not mean no lobbying occurred — unregistered lobbying exists and is
242
+ itself a separate compliance violation, invisible to a registry-based
243
+ dataset. Both directions limit what can be inferred from presence or
244
+ absence here.
245
+ 3. **Co-occurrence is not causation.** "Lobbying targeted riding X while MPP Y
246
  held it and MPP Y disclosed an interest in Z" is three facts about public
247
  filings, not a narrative. This dataset must not be used to allege
248
  wrongdoing; lobbying and disclosure are the *compliance* mechanisms working
249
  as designed.
250
+ 4. **Active-set lower bound.** See [Provenance](#provenance): historical
251
  counts are lower bounds; de-registered filings are absent.
252
+ 5. **PDS lists interests, not amounts.** MPP disclosures are
253
  interest-presence prose (with limited exceptions, no dollar values). "MPP X
254
  holds an interest in Y" is supportable; "MPP X owns $N" is not.
255
  Cross-year changes reflect disclosure changes, not necessarily economic
256
  ones. Disclosure free text is exported verbatim (`*_text` columns);
257
  structured interest→organization edges were deliberately **not** extracted
258
  (an NLP pass with its own error rate — deferred).
259
+ 6. **The targets grain trap.** `registration_targets` is RAW-mention grain:
260
  the same (registration, target, subject_type) repeats across lobbying
261
  activities within one filing. **Always `DISTINCT` over
262
  `registration_no` (and `subject_type` if relevant) before counting.**
263
  `target_row_count` in `government_bodies` is raw-mention count, not
264
  registration count.
265
+ 7. **HELD_BY is parliament-level.** Term dates come from the OLA roster at
266
  parliament granularity; by-election parliaments are multi-holder and
267
  tier-marked `ambiguous` (see Methodology).
268
+ 8. **Name-bridge tiers are load-bearing.** Any cross-source person claim must
269
  filter the relevant tier columns to `confirmed` (and should state the tier
270
  either way). `probable` links are name-only matches.
271
+ 9. **Self-reported sources.** The Integrity Commissioner reviews filings for
272
  completeness, not truthfulness.
273
+ 10. **Known warts, kept honestly.** A small number of mojibake-era name twins
274
  survive as separate entities (e.g. one registration carrying both
275
  `Matthew Dubé` and `Matthew Dubé` as filer aliases resolved to two
276
  entities, ≈13 registrations affected); merging them automatically would
277
  violate the review discipline, so they remain split (under-merge by
278
  design). A handful of riding string variants likewise remain uncollapsed.
279
+ 11. **Resolution decisions are auditable, not infallible.** Match methods,
280
  review flags, and corroboration signals are exported so a third party can
281
  check any call.
282
 
 
312
  `riding_id`; registrations use the registry's own `registration_no`.
313
 
314
  Dates are ISO `YYYY-MM-DD` strings (NULL where the source omits them);
315
+ timestamps are ISO-8601 UTC. Free-text fields are predominantly English; a
316
+ small fraction of filings (<1% of rows, mostly francophone organizations'
317
+ `goal_text` / `client_business`) contain French prose, kept verbatim. `*_norm` columns are deterministic
318
  lowercase/whitespace normalizations used as join keys upstream — they are not
319
  display names.
320
 
 
388
  `subject_row_id`, `registration_no`, `subject_kind`, `subject_type`,
389
  `subject_text`, `subject_norm`, `goal_text`, `source`.
390
 
391
+ **`registration_targets`** — ⚠ RAW-mention grain (limitation 6): one row per
392
  target mention per lobbying activity. `target_kind` ∈ `mpp` (riding-office;
393
  resolves to `riding_id`), `ministry`, `ministers_office`, `agency` (resolve
394
  to `govbody_id`), `other_institution` (kept verbatim, no resolved ref).
 
468
  `match_method`, `reviewed`, `review_note`, `source`.
469
 
470
  **`held_by`** — one row per (riding, person, parliament) holding;
471
+ by-election parliaments emit multiple rows marked `ambiguous` (limitation 7).
472
  `term_end` NULL = ongoing. Columns: `held_by_id`, `riding_id`, `riding_raw`,
473
  `member_slug`, `person_id`, `parliament_number`, `term_start`, `term_end`,
474
  `term_start_raw`, `term_end_raw`, `ambiguous`, `confidence_tier`, `source`.
 
478
  **`disclosures`** — one row per disclosure FILING EVENT, grain
479
  (mpp, year, as_of_date) — an MPP can file twice in a year (by-election +
480
  year-end), and both rows coexist. Interest panels are verbatim free text
481
+ (limitation 5). Columns: `disclosure_id`, `person_id`, `mpp_id`, `mpp_name`,
482
  `riding_raw`, `year`, `as_of`, `as_of_date`, `income_text`, `assets_text`,
483
  `liabilities_text`, `gifts_text`, `offices_text`, `spouse_income_text`,
484
  `spouse_assets_text`, `spouse_liabilities_text`, `person_resolution_tier`,
 
509
  (hits.initial_filing_date >= hits.term_start)
510
  & (hits.term_end.isna() | (hits.initial_filing_date <= hits.term_end))
511
  ]
512
+ n = in_term.registration_no.nunique() # DISTINCT — limitation 6
513
  ```
514
 
515
  The result is a count of *registrations declaring intent to lobby that
516
+ office during that tenure* — a lower bound (limitation 4), not a contact log
517
  (limitation 1).
518
 
519
  ## Reproducibility